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Paper Citation Record · LEDGER

BloombergGPT: A Large Language Model for Finance

As of 23 August 2026, this Paper Citation Record lists 100 of 140 outbound references and 100 inbound Pith citation observations for arXiv:2303.17564.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2303.17564 v3

Coverage vector

measured 100 of 140 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-13T23:19:46.231145Z

measured 200 of 200 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 100 of 263 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:30:12.270024Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-10T09:06:59.093499Z

Reference resolution

100 of 140 outbound references displayed

  • verified exact38
  • verified fuzzy40
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch19

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8691120c-ce9c-478f-bbb7-0201becb168a · outbound

This paper cites FinBERT: Financial Sentiment Analysis with Pre-trained Language Models.

BloombergGPT: A Large Language Model for Finance FinBERT: Financial Sentiment Analysis with Pre-trained Language Models

Reference 1

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verified exact
arxiv_id, observed 2026-05-15T20:26:05.149770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:a3cb0595842d0d32ba14b6618e4e41c2daa058ecb56aee2547a11d09b08165e2

Observation 121b733e-a0c3-42e5-827b-250e51fa4c71 · outbound

This paper cites PLATO - XL : Exploring the large-scale pre-training of dialogue generation.

BloombergGPT: A Large Language Model for Finance PLATO - XL : Exploring the large-scale pre-training of dialogue generation

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T23:19:46.956813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:ed19eb293decef43f2fc5aca61331841d4bacd912a717a2357652ad51d51b802

Observation c4f4b191-1164-4fec-af1a-ae7b0f58df44 · outbound

This paper cites S ci BERT : A pretrained language model for scientific text.

BloombergGPT: A Large Language Model for Finance S ci BERT : A pretrained language model for scientific text

Reference 3

Resolution
verified exact
doi, observed 2026-05-13T23:19:46.381846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:c1e7084c62c58116cc8c882ae0513e1c94a11f77e83c6c91962ec273a6f8e3c9

Observation c36ee420-d7af-449e-886f-33c2eeed3a3d · outbound

This paper cites On the dangers of stochastic parrots: Can language models be too big? In Proceedings of the 2021 ACM conference on fairness, accountability, and transparency, pages 610--623.

BloombergGPT: A Large Language Model for Finance On the dangers of stochastic parrots: Can language models be too big? In Proceedings of the 2021 ACM conference on fairness, accountability, and transparency, pages 610--623

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T23:19:46.930181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:04f8ee195cf826c2d89c1ecf2df255109f9adfe15aeda1442bf4bb4acdfd33c4

Observation 3588d77c-8a42-4d40-aacb-26dc8cb358a2 · outbound

This paper cites The fifth PASCAL recognizing textual entailment challenge.

BloombergGPT: A Large Language Model for Finance The fifth PASCAL recognizing textual entailment challenge

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T23:19:47.012233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:eb20179dfb911f7513c683f7afa98d5ad5b7954f2da5f8008a4f811e63cd7045

Observation 00e1c7ac-32f4-4f09-8af5-915bbe392498 · outbound

This paper cites The values encoded in machine learning research.

BloombergGPT: A Large Language Model for Finance The values encoded in machine learning research

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T23:19:47.151971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:e0915ffa45dc2a428ff6e7304c842c7f03f70bceff051e016fcae3baa3cbdf47

Observation 30482f8a-8305-43d1-8a1a-43e35a6a0b63 · outbound

This paper cites PIQA: reasoning about physical commonsense in natural language.

BloombergGPT: A Large Language Model for Finance PIQA: reasoning about physical commonsense in natural language

Reference 7

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verified fuzzy
raw_fallback, observed 2026-05-13T23:19:47.125559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:ed8889c7aade94c922c1b7328615466fc4ad050e1d6948338bf97193b2b5ea0a

Observation dba84382-886e-4e42-a43a-0389ea149c27 · outbound

This paper cites doi:10.5281/zenodo.5297715 , url =.

BloombergGPT: A Large Language Model for Finance doi:10.5281/zenodo.5297715 , url =

Reference 8

Resolution
metadata mismatch
doi, observed 2026-05-13T23:19:46.528243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:4574b51fcc42424e42cbce270dc0ded588fb89be373fb9fc67afdb95abb18f59

Observation 7a98386b-9aad-4557-8b5c-c0baf46e4eae · outbound

This paper cites GPT - N eo X -20 B : An Open-Source Autoregressive Language Model.

BloombergGPT: A Large Language Model for Finance GPT - N eo X -20 B : An Open-Source Autoregressive Language Model

Reference 9

Resolution
verified exact
doi, observed 2026-05-13T23:19:46.532395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:80940ce9d01773b0818d0eb164d452e3b0e4e99493a182ea5714dea1be78fb13

Observation 17a588d7-e78b-4d6f-b225-4dec556dffd1 · outbound

This paper cites BioMedLM.

BloombergGPT: A Large Language Model for Finance BioMedLM

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T23:19:46.982918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:ea166aec599a76056fd4cd7ed4e79c3f0b8d34169c6caf40ffde4f0410f8b32b

Observation e718c7e0-b313-4399-85e4-1f2a38716985 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

BloombergGPT: A Large Language Model for Finance On the Opportunities and Risks of Foundation Models

Reference 11

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local_arxiv, observed 2026-05-13T23:19:46.605713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:65d6bc8de84a4a974b8f216a8110878d8dffde2b92d6286be1c5b51b10c32a99

Observation 72b11fd8-23c7-48bb-ab2e-3dd3a17244c8 · outbound

This paper cites 2020 , journal =.

BloombergGPT: A Large Language Model for Finance 2020 , journal =

Reference 12

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doi, observed 2026-05-13T23:19:46.571128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:c9cf0dae0309816ea4f0be47842d5663cdc6c75b262228855fd6d4a9e8518f29

Observation 1910b2ef-8978-4ffd-86d2-f850b677728b · outbound

This paper cites Popat, Peng Xu, Franz J.

BloombergGPT: A Large Language Model for Finance Popat, Peng Xu, Franz J

Reference 13

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raw_fallback, observed 2026-05-13T23:19:46.975072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:327e0b6e606e72dfee0d21ea351ccefc5d438285e40856bef45bc6d34af58c32

Observation b585411a-3885-4772-beb7-02a6cb54676e · outbound

This paper cites Class-based n-gram models of natural language.

BloombergGPT: A Large Language Model for Finance Class-based n-gram models of natural language

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T23:19:46.960509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:23f4df142ab0c5f0c5f6161012eb4430bd090e9e5cac9251654dbd928146e2be

Observation 20cde712-610c-4cc9-89ca-69c940acdd74 · outbound

This paper cites an unresolved cited work.

BloombergGPT: A Large Language Model for Finance Unresolved cited work

Reference 15

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:040d84232d5e4742b4777931fb5bc01dfccc6f4ad5684e46d1b50b3ae066d000

Observation 93a1e027-1fb4-426b-990b-c409b446200f · outbound

This paper cites Brown, Dawn Xiaodong Song, \'U lfar Erlingsson, Alina Oprea, and Colin Raffel.

BloombergGPT: A Large Language Model for Finance Brown, Dawn Xiaodong Song, \'U lfar Erlingsson, Alina Oprea, and Colin Raffel

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T23:19:46.992134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:760349d7dcf884dfe01d2809fc99e667fdab42fa608254eea6c243e20511f204

Observation 4ca9f5e3-0893-43e1-823b-a725d068665c · outbound

This paper cites Quantifying Memorization Across Neural Language Models.

BloombergGPT: A Large Language Model for Finance Quantifying Memorization Across Neural Language Models

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-05-13T23:19:46.611817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:3827639b2da0b46ff591b8cf9fb5f7b5c8c1054100cbecda119b195bbf3d3971

Observation 1538bedc-91a6-442b-98e7-90d2e42c6447 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

BloombergGPT: A Large Language Model for Finance Evaluating Large Language Models Trained on Code

Reference 18

Resolution
metadata mismatch
local_arxiv, observed 2026-05-13T23:19:46.618158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:839e95ee8e03229b664fe934c46e776cb91896226dc0141cf787d865256ae9be

Observation 8612be7e-edfb-4383-9753-ca28d5d0c887 · outbound

This paper cites Training Deep Nets with Sublinear Memory Cost.

BloombergGPT: A Large Language Model for Finance Training Deep Nets with Sublinear Memory Cost

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-13T23:19:46.624925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:ec3922c1ee03c610b5b3029769f03b31160350792bd5f1b6802faa33df0bd6f8

Observation b1181017-3c92-47ce-b9e4-18ca7163d539 · outbound

This paper cites FinQA: A dataset of numerical reasoning over financial data.

BloombergGPT: A Large Language Model for Finance FinQA: A dataset of numerical reasoning over financial data

Reference 20

Resolution
verified exact
doi, observed 2026-05-13T23:19:46.454202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:3a1fbfe091a77f5f961f56041b29fdca501ad6124dd9d2bccf068dfd3da8c79d

Observation 453e10b5-622b-4658-98c5-39388d1c3032 · outbound

This paper cites C onv F in QA : Exploring the chain of numerical reasoning in conversational finance question answering.

BloombergGPT: A Large Language Model for Finance C onv F in QA : Exploring the chain of numerical reasoning in conversational finance question answering

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T23:19:46.941431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:10258d2d82f9bc080ae3189f60ae2473648a50965c41294a05cff85a59c1db71

Observation 2f8f4cc3-dcf7-4e42-bdc3-96760f7d7e76 · outbound

This paper cites PaLM: Scaling Language Modeling with Pathways.

BloombergGPT: A Large Language Model for Finance PaLM: Scaling Language Modeling with Pathways

Reference 22

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metadata mismatch
local_arxiv, observed 2026-05-13T23:19:46.631511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:a7971ae3dc5e74d774776190dcdfe297f570b1d24b129248bf1c843b47cd0c4e

Observation 21430da9-f9e2-4c3f-b197-580069be3338 · outbound

This paper cites B ool Q : Exploring the Surprising Difficulty of Natural Yes/No Questions.

BloombergGPT: A Large Language Model for Finance B ool Q : Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 23

Resolution
verified exact
doi, observed 2026-05-13T23:19:46.472980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:7bf7c028217a29005f3a209a59a726f8099711727fbe1178ec3f4cfbe9a3fbe5

Observation 34072e24-93b4-4b2a-983d-150aee65d509 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

BloombergGPT: A Large Language Model for Finance Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-05-13T23:19:46.637437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:0bc5e1aa89e5b94cbdcd31340dd75d0ecbfeb1678b82d27d4e166e62b285bea1

Observation d7b9bad9-6a9c-4b1b-a7ee-6be90f22440b · outbound

This paper cites The pascal recognising textual entailment challenge.

BloombergGPT: A Large Language Model for Finance The pascal recognising textual entailment challenge

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T23:19:46.909294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:17224b430800d9af52f1c32c2d2ec1c194296bfa30fff1e8fc5e0fb3c1fd360c

Observation 9ef1127f-0e04-4fb4-9331-dba06d43afa3 · outbound

This paper cites The commitmentbank: Investigating projection in naturally occurring discourse.

BloombergGPT: A Large Language Model for Finance The commitmentbank: Investigating projection in naturally occurring discourse

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T23:19:47.129475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:d7a46f06e40f45e565f335f0b1c0c8122dea90dfc513e04e7115e0a9fa3a91ec

Observation d7b83eb8-5767-4f3f-bca0-4232b3a3b87e · outbound

This paper cites Bernice: A multilingual pre-trained encoder for T witter.

BloombergGPT: A Large Language Model for Finance Bernice: A multilingual pre-trained encoder for T witter

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T23:19:47.110251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:3f9596c328b73a0532af36966412bea6f7d6a38eb41690ebe079f73c1371479a

Observation 698e1a14-9d75-4126-8173-12517d9fdfd8 · outbound

This paper cites 8-bit optimizers via block-wise quantization.

BloombergGPT: A Large Language Model for Finance 8-bit optimizers via block-wise quantization

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T23:19:47.101954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:99670243a44eaca5a3cb3dfc25a6b3e710c82aaaf5bff8259cee17fef60a72fb

Observation 0533a175-170d-48d5-8eaf-c2abbc18e209 · outbound

This paper cites BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding.

BloombergGPT: A Large Language Model for Finance BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 29

Resolution
verified exact
doi, observed 2026-05-13T23:19:46.509485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:5f51ed72d9c86783a529d89374f9aa7b85b086880675d04384deeee002e69b8d

Observation 96befe87-3f3b-4cda-8651-509a68bfbf14 · outbound

This paper cites doi: 10.18653/v1/2021.emnlp-main.98.

BloombergGPT: A Large Language Model for Finance doi: 10.18653/v1/2021.emnlp-main.98

Reference 30

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metadata mismatch
doi, observed 2026-05-13T23:19:46.514217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:e95ee2d74275a2aaa3ed1b6cf70ea5301ff269e42f8df5afd1f33d2ad0f34b85

Observation 7ba472de-4fb2-4f19-8d62-4c722b5f3993 · outbound

This paper cites How twitter is changing the nature of financial news discovery.

BloombergGPT: A Large Language Model for Finance How twitter is changing the nature of financial news discovery

Reference 31

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verified fuzzy
raw_fallback, observed 2026-05-13T23:19:47.097248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:fd7eee0a64f028fc467627be133eb5f275ad558a48ccae0cc5b89a56e92eb2a4

Observation c8d804aa-4755-4e47-b6b7-a21a52d235aa · outbound

This paper cites Natural language processing in accounting, auditing and finance: A synthesis of the literature with a roadmap for future research.

BloombergGPT: A Large Language Model for Finance Natural language processing in accounting, auditing and finance: A synthesis of the literature with a roadmap for future research

Reference 32

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raw_fallback, observed 2026-05-13T23:19:47.093679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:19d189992b7f876662e7f06e874a3fb5a9307e3c70ba4b6fd161bca0bf459e80

Observation fea63e41-66dc-46e4-8e2b-c77f94be09a1 · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

BloombergGPT: A Large Language Model for Finance The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 33

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local_arxiv, observed 2026-05-13T23:19:46.642918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:e20e69995b7a34383841c267192ac2c82493aa21f22b4406c80ad08e711b9f6b

Observation 6a529801-cd13-4405-a04f-50bf5fb6f218 · outbound

This paper cites Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text.

BloombergGPT: A Large Language Model for Finance Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text

Reference 34

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verified exact
arxiv_id, observed 2026-05-13T23:19:46.648925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:9fb880bf224fe8b7676611ab3849c9a747cf735f9ba87763c1ea72848acdbdf5

Observation 4a2aa864-12ed-4e49-954a-c56286e05967 · outbound

This paper cites The third PASCAL recognizing textual entailment challenge.

BloombergGPT: A Large Language Model for Finance The third PASCAL recognizing textual entailment challenge

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T23:19:47.085822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:1f64e6f51d04d42183b6d2bf7f3486acc2614e472d6f6160a132ebb5db946b61

Observation 7e140afe-c497-49a5-b7fa-cf2b63fafc98 · outbound

This paper cites Improving alignment of dialogue agents via targeted human judgements.

BloombergGPT: A Large Language Model for Finance Improving alignment of dialogue agents via targeted human judgements

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-14T17:54:02.323766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:3d19690a258e1762ba2467b8fc5bf38fca138c2e3b264d0ea6c1ea9f651b7e6c

Observation af9a72de-8b0a-4313-bef9-4f63b7122f5c · outbound

This paper cites Gordon, Zornitsa Kozareva, and Melissa Roemmele.

BloombergGPT: A Large Language Model for Finance Gordon, Zornitsa Kozareva, and Melissa Roemmele

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T23:19:47.077545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:6208959a67de62fcfb8da4507934930c08cdbc858691ea2b11f76bc715b3032f

Observation ae8178db-7aa2-4d7a-ba69-4311a0de19f3 · outbound

This paper cites News Summarization and Evaluation in the Era of GPT-3.

BloombergGPT: A Large Language Model for Finance News Summarization and Evaluation in the Era of GPT-3

Reference 38

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T23:19:46.665438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:527ef7541c1609eae9f0b2b89a6533c5d3d9f55c9c77aa636cad3875ff68f4bd

Observation aca441ef-c3f6-4b1f-b875-a9c96b8d1715 · outbound

This paper cites Don ' t Stop Pretraining: Adapt Language Models to Domains and Tasks.

BloombergGPT: A Large Language Model for Finance Don ' t Stop Pretraining: Adapt Language Models to Domains and Tasks

Reference 39

Resolution
verified exact
doi, observed 2026-05-13T23:19:46.555893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:d1ea0403677f06e04af3cd0486c0795d1485028583fcfb4e6f68706d273643ff

Observation 35aab112-6255-4b98-971f-d1c96aa8ce2f · outbound

This paper cites The second pascal recognising textual entailment challenge.

BloombergGPT: A Large Language Model for Finance The second pascal recognising textual entailment challenge

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T23:19:47.073166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:ce7b8b3aaf5a90138ee01f35051276670d29b9af93f109790b24cc5f70761aeb

Observation 903e1b21-dde7-4ffb-8c14-eb6966b0cb86 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

BloombergGPT: A Large Language Model for Finance Gaussian Error Linear Units (GELUs)

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-05-13T23:19:46.672339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:4fd44f84e511a9ef7c59c66971af2acf39c1b01899be5de1b5d02ae02abc9887

Observation 79640ec1-c73e-4b88-b324-87778be43e60 · outbound

This paper cites Measuring massive multitask language understanding.

BloombergGPT: A Large Language Model for Finance Measuring massive multitask language understanding

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T23:19:47.063925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:489eaeb92ef9a4030605a87faaa22597074fe230eed640f370c45502878bd545

Observation 84ea5711-b221-493d-b392-b311f63f5ac0 · outbound

This paper cites Query-key normalization for transformers.

BloombergGPT: A Large Language Model for Finance Query-key normalization for transformers

Reference 43

Resolution
verified exact
doi, observed 2026-05-13T23:19:46.581813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:1178fe695dd243559edd96272fb0f5d09aa8a6b26cdc7c101cfc12f628c8a5fa

Observation d282e3b5-1fa2-49f1-a57e-b9f7606504e7 · outbound

This paper cites Scaling Laws for Transfer.

BloombergGPT: A Large Language Model for Finance Scaling Laws for Transfer

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-18T00:58:13.994022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:a90c3d766a693365576b19ffabbd0b71938ee37417d1545db1a1b64289fa04cc

Observation bf8a2405-20fd-41c9-85d6-ef6534961862 · outbound

This paper cites An empirical analysis of compute-optimal large language model training.

BloombergGPT: A Large Language Model for Finance An empirical analysis of compute-optimal large language model training

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T23:19:47.053423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:b31402b7f9a85a0a6964ea9463f7816348b5f10858a5e740e5404ed6b8268689

Observation cf81e8c3-1062-4b19-b2d1-3cbc5e617904 · outbound

This paper cites In: Gurevych, I., Miyao, Y.

BloombergGPT: A Large Language Model for Finance In: Gurevych, I., Miyao, Y

Reference 46

Resolution
metadata mismatch
doi, observed 2026-05-13T23:19:46.336964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:1fd537369fa6cb2a48e641635e69d062a7c434564ddb508b9dc48b5041ad81dc

Observation 586bfbf2-90ef-4158-97ed-d0b4b7e74f83 · outbound

This paper cites ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission.

BloombergGPT: A Large Language Model for Finance ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:26:53.041773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:fcc5e6830be7476a25d4002ef9e164149bc1b2eb5659362d0ffd81dd5b8b3b48

Observation 52267bde-34eb-4f42-8b42-bb5589923285 · outbound

This paper cites Continuous speech recognition by statistical methods.

BloombergGPT: A Large Language Model for Finance Continuous speech recognition by statistical methods

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T23:19:47.026949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:817050f08f5e88009d10585f336c2aed3f19daa0b31c60ad762a41ca8529c5d1

Observation cd045a5b-9df1-485f-8027-59fc6a0fca4b · outbound

This paper cites Scott, Sonja Mei Wang, Milagros Miceli, Pieter Delobelle, Karolina Sztandar-Sztanderska, and Bettina Berendt.

BloombergGPT: A Large Language Model for Finance Scott, Sonja Mei Wang, Milagros Miceli, Pieter Delobelle, Karolina Sztandar-Sztanderska, and Bettina Berendt

Reference 49

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T23:19:46.356613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:7a16970628b7620f908aa239ebd6224ed37401f75f99c445aa938b5fa260113a

Observation 05ec998e-2aa8-4bc5-bdb7-444e835eb69c · outbound

This paper cites Scaling Laws for Neural Language Models.

BloombergGPT: A Large Language Model for Finance Scaling Laws for Neural Language Models

Reference 50

Resolution
metadata mismatch
local_arxiv, observed 2026-05-13T23:19:46.690408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:aef19d02be5e1c037453cff48223df4a3979ac1ff93bfab49d371a4359287fda

Observation 17e714c6-7c11-41d5-a2f1-412ba3b1e12c · outbound

This paper cites Amazon SageMaker Model Parallelism: A General and Flexible Framework for Large Model Training.

BloombergGPT: A Large Language Model for Finance Amazon SageMaker Model Parallelism: A General and Flexible Framework for Large Model Training

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-13T23:19:46.704885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:95b58a5bf6a4429bbf7708da40c0a373bb6dfc5d71ad70bfa3a78f19d2a92d72

Observation 8ad02359-1416-4ea2-90f8-0c08d29a100d · outbound

This paper cites Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences , url =.

BloombergGPT: A Large Language Model for Finance Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences , url =

Reference 52

Resolution
verified exact
doi, observed 2026-05-13T23:19:46.376695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:8bfdcab479b900967e612627934e1603328b501733338b2950abb4a744a20446

Observation 23efadb5-39a3-4564-96fa-05b7a3431662 · outbound

This paper cites Reducing Activation Recomputation in Large Transformer Models.

BloombergGPT: A Large Language Model for Finance Reducing Activation Recomputation in Large Transformer Models

Reference 53

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T23:19:46.710952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:788d8d882d8d852fb7a680899eb56372edcb04d864f83779dc3f36d3d13e23df

Observation 4a32590e-eae8-4d13-92c9-e0562f0fb881 · outbound

This paper cites Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates.

BloombergGPT: A Large Language Model for Finance Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates

Reference 54

Resolution
verified exact
doi, observed 2026-05-13T23:19:46.387196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:0fce58c834bd1c6e207480c9cccecd806cc36ee2d9d02a31e79000a9f29d8639

Observation d1bef25e-dd75-4c3c-aa55-de8a79c30315 · outbound

This paper cites SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing.

BloombergGPT: A Large Language Model for Finance SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing

Reference 55

Resolution
verified exact
doi, observed 2026-05-13T23:19:46.392362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:a7d77c1da8c73a682564ed9a175bea3fb77d732e648601a191f6ca47fdda8492

Observation aa2629f9-63b3-4584-9316-5b7d873dad8e · outbound

This paper cites doi: 10.18653/v1/D17-1082.

BloombergGPT: A Large Language Model for Finance doi: 10.18653/v1/D17-1082

Reference 56

Resolution
metadata mismatch
doi, observed 2026-05-13T23:19:46.396954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:d09ccc5c1f9f45c646b6ca0e47fd15c1e17323a2bf46fdee1eb0b13741f7a009

Observation 1279b326-d23b-479c-b668-04349a75a2fc · outbound

This paper cites an unresolved cited work.

BloombergGPT: A Large Language Model for Finance Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-05-13T23:19:47.015913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:8fef1c4b4543d53c08dc5d8c18c4feb6de937b57f11d0c4d6065c5631187b947

Observation ad43c711-6f1d-43d8-b374-42f4f2f3469b · outbound

This paper cites Bioinformatics , volume =.

BloombergGPT: A Large Language Model for Finance Bioinformatics , volume =

Reference 58

Resolution
metadata mismatch
doi, observed 2026-05-13T23:19:46.415732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:d289713b8e8b4f7d2daca997fb61c26df511b119324922434fcc8c21f75051a4

Observation 1f1bdd25-3e70-4600-a0c4-2df811fcd270 · outbound

This paper cites Deduplicating Training Data Makes Language Models Better.

BloombergGPT: A Large Language Model for Finance Deduplicating Training Data Makes Language Models Better

Reference 59

Resolution
verified exact
doi, observed 2026-05-13T23:19:46.421307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:635cf6b7ef4ccd89cd578a7079fd2eb55398c13e75939cdb76c6e45f2ecff3b1

Observation 396027a2-6847-4902-ac5a-3284a91cd97e · outbound

This paper cites Evaluating Human-Language Model Interaction.

BloombergGPT: A Large Language Model for Finance Evaluating Human-Language Model Interaction

Reference 60

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T23:19:46.429120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:be4425fcdc0655ffcc7a4264f4b5995c76a61e35218d304b00528173368e8f65

Observation 67ef661a-2710-4aad-939b-2e3e1584ecac · outbound

This paper cites Do We Still Need Clinical Language Models?.

BloombergGPT: A Large Language Model for Finance Do We Still Need Clinical Language Models?

Reference 61

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T23:19:46.717536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:eca0933af7b6a7e3fea8ce2b20b59dc9d017f1eb0ca678ca0c0cc19801dde701

Observation 7e5915ad-2142-40ec-9ee4-3537597e785c · outbound

This paper cites Levesque, Ernest Davis, and L.

BloombergGPT: A Large Language Model for Finance Levesque, Ernest Davis, and L

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T23:19:47.008405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:60d0d1020fdacdb1d6a81f1bedbfd0eb4f02c06a293e6bef735e753410a90eb1

Observation f6c3395f-3ac2-4afa-b6a3-21c7ef00c00c · outbound

This paper cites Limits to depth efficiencies of self-attention.

BloombergGPT: A Large Language Model for Finance Limits to depth efficiencies of self-attention

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T23:19:47.004274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:f2e50690dcd63c4ef9bac98cb9ab6a2c94419dbd43a682a3fcc9b6d065c69909

Observation 559f6a7d-6b6a-4271-84f8-e935a0fca5fb · outbound

This paper cites Pretrained language models for biomedical and clinical tasks: Understanding and extending the state-of-the-art.

BloombergGPT: A Large Language Model for Finance Pretrained language models for biomedical and clinical tasks: Understanding and extending the state-of-the-art

Reference 64

Resolution
verified exact
doi, observed 2026-05-13T23:19:46.443798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:d90be0ffa47340ed8fcb617d1bd1e0a649cb87caefebad707ff5c8cc228a565c

Observation 39cd907c-edf6-495c-beed-0265ba6a244c · outbound

This paper cites Solving Quantitative Reasoning Problems with Language Models.

BloombergGPT: A Large Language Model for Finance Solving Quantitative Reasoning Problems with Language Models

Reference 65

Resolution
verified exact
local_arxiv, observed 2026-05-13T23:19:46.723111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:9c1686262d7530a44078a5d52e2560bed399c85f524460f912681dd2f28168cb

Observation b857d7ae-e7a1-4bad-b72b-3dc02cf82a60 · outbound

This paper cites Holistic Evaluation of Language Models.

BloombergGPT: A Large Language Model for Finance Holistic Evaluation of Language Models

Reference 66

Resolution
metadata mismatch
local_arxiv, observed 2026-05-13T23:19:46.406429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:7d1b11b73ec1077c4106ea9edda59bd0bf8108c347e6cdc553d3878525a56732

Observation 5a46904d-480b-4115-8400-71d8ffd522b2 · outbound

This paper cites Jurassic-1: Technical details and evaluation.

BloombergGPT: A Large Language Model for Finance Jurassic-1: Technical details and evaluation

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T23:19:47.021725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:d712c6b816c8e9ac416e6be6eb8e09becf94cab6fe0b5216d553da908d49789e

Observation ee1b9c22-9d41-4cb9-9d70-8308ee52ac5b · outbound

This paper cites Evolutionary-scale prediction of atomic level protein structure with a language model.

BloombergGPT: A Large Language Model for Finance Evolutionary-scale prediction of atomic level protein structure with a language model

Reference 68

Resolution
metadata mismatch
doi, observed 2026-05-13T23:19:46.351593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:c7f20e4a75664dbf112a0175c333b29d18cb7b4cfc9704465630ae93d68f78c6

Observation 6d7b2146-5aa0-47c9-b6a3-4e1a294157cd · outbound

This paper cites Autoregressive structured prediction with language models.

BloombergGPT: A Large Language Model for Finance Autoregressive structured prediction with language models

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T23:19:47.031922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:a2a6977b899b9b4b4e4f76e370b224d61b5173691fb636360d629c21df5e5c75

Observation e44410f2-4df3-4c9f-85a5-439d5ffbb959 · outbound

This paper cites Decoupled weight decay regularization.

BloombergGPT: A Large Language Model for Finance Decoupled weight decay regularization

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T23:19:47.045665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 04a3443e-c5c5-49ca-af32-8c481bd86ca7 · outbound

This paper cites BioGPT: generative pre-trained transformer for biomedical text generation and mining.

BloombergGPT: A Large Language Model for Finance BioGPT: generative pre-trained transformer for biomedical text generation and mining

Reference 71

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 7633ad90-a4c1-4d70-9256-f9bf2e535912 · outbound

This paper cites Exploring cross-sentence contexts for named entity recognition with BERT.

BloombergGPT: A Large Language Model for Finance Exploring cross-sentence contexts for named entity recognition with BERT

Reference 72

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 15f8c9c3-f871-487f-aacc-c91701642d9d · outbound

This paper cites WWW'18 Open Challenge: Financial Opinion Mining and Question Answering , year =.

BloombergGPT: A Large Language Model for Finance WWW'18 Open Challenge: Financial Opinion Mining and Question Answering , year =

Reference 73

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation ff355b2c-b851-4f20-b04f-99e8c7e37b89 · outbound

This paper cites Korhonen, Jyrki Wallenius, and Pyry Takala.

BloombergGPT: A Large Language Model for Finance Korhonen, Jyrki Wallenius, and Pyry Takala

Reference 74

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation c204e047-8388-4312-9431-0d41cc1ddd0b · outbound

This paper cites Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP.

BloombergGPT: A Large Language Model for Finance Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP

Reference 75

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 459d6a2c-3471-45a0-b10a-e6dae1cd2c7f · outbound

This paper cites Can a suit of armor conduct electricity? a new dataset for open book question answering.

BloombergGPT: A Large Language Model for Finance Can a suit of armor conduct electricity? a new dataset for open book question answering

Reference 76

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:6372a53dc011c02fe15b6fc888df48d78042f3f477e071b199a91c7edd5a63c0

Observation d0f86be7-a4ac-48f4-97b5-6e08db9f8ef4 · outbound

This paper cites Recurrent neural network based language model.

BloombergGPT: A Large Language Model for Finance Recurrent neural network based language model

Reference 77

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 1637bdb6-a406-4232-b015-bf81e41a7866 · outbound

This paper cites A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories.

BloombergGPT: A Large Language Model for Finance A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories

Reference 78

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 6c87ffc8-6cb4-4f85-9977-bd8c1afade54 · outbound

This paper cites BERT weet: A pre-trained language model for E nglish tweets.

BloombergGPT: A Large Language Model for Finance BERT weet: A pre-trained language model for E nglish tweets

Reference 79

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:d84b501d68835d76e20ce64e35af8845ab5bdd8e2ff118dcc2b4ed2caf7a60c9

Observation abf59dba-f6cf-4805-8936-6fefe2ec4ace · outbound

This paper cites Adversarial NLI : A New Benchmark for Natural Language Understanding.

BloombergGPT: A Large Language Model for Finance Adversarial NLI : A New Benchmark for Natural Language Understanding

Reference 80

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 72e9730c-7e4b-4a18-8195-ac9d3ed5f31e · outbound

This paper cites ProGen2: Exploring the Boundaries of Protein Language Models.

BloombergGPT: A Large Language Model for Finance ProGen2: Exploring the Boundaries of Protein Language Models

Reference 81

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation f2f62179-16b5-45e3-97e0-1bd9033d100d · outbound

This paper cites Train with mixed precision.

BloombergGPT: A Large Language Model for Finance Train with mixed precision

Reference 82

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 2179cd89-03df-417a-bef7-e75d317f7edf · outbound

This paper cites Training language models to follow instructions with human feedback.

BloombergGPT: A Large Language Model for Finance Training language models to follow instructions with human feedback

Reference 83

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 15fb2398-ff53-441b-b666-49b1d8dbe94f · outbound

This paper cites GODEL: Large-Scale Pre-Training for Goal-Directed Dialog.

BloombergGPT: A Large Language Model for Finance GODEL: Large-Scale Pre-Training for Goal-Directed Dialog

Reference 84

Resolution
verified exact
arxiv_id, observed 2026-05-13T23:19:46.736015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation b42c1864-85f5-4e53-a930-0a65da2ab235 · outbound

This paper cites doi:10.18653/v1/N19-1128 , pages =.

BloombergGPT: A Large Language Model for Finance doi:10.18653/v1/N19-1128 , pages =

Reference 85

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 8409b621-4000-4ae9-8511-e747b89d2375 · outbound

This paper cites Train short, test long: Attention with linear biases enables input length extrapolation.

BloombergGPT: A Large Language Model for Finance Train short, test long: Attention with linear biases enables input length extrapolation

Reference 86

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:bcef70c8ac5de245bda6ad4ff63ce48d7aeb7bd70c01caa2fb8669a741706915

Observation 3b306192-bbac-4a2d-9dcc-499faf8ee2b2 · outbound

This paper cites Improving language understanding by generative pre-training.

BloombergGPT: A Large Language Model for Finance Improving language understanding by generative pre-training

Reference 87

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation e42b4361-b578-4319-8cdf-c1f429f4f7d2 · outbound

This paper cites Language models are unsupervised multitask learners.

BloombergGPT: A Large Language Model for Finance Language models are unsupervised multitask learners

Reference 88

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation d3aeeffe-3600-4bb9-98c7-76e2a54efb6c · outbound

This paper cites Rae, Anna Potapenko, Siddhant M.

BloombergGPT: A Large Language Model for Finance Rae, Anna Potapenko, Siddhant M

Reference 89

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 663920cf-30b7-4ec1-a48c-df9bc7f1ee92 · outbound

This paper cites Scaling Language Models: Methods, Analysis & Insights from Training Gopher.

BloombergGPT: A Large Language Model for Finance Scaling Language Models: Methods, Analysis & Insights from Training Gopher

Reference 90

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 7515bf83-9ad3-4875-a882-c9e5ad227201 · outbound

This paper cites an unresolved cited work.

BloombergGPT: A Large Language Model for Finance Unresolved cited work

Reference 91

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 4575111d-1d2b-4175-bc7c-dce18b2ad845 · outbound

This paper cites Zero: Memory optimizations toward training trillion parameter models.

BloombergGPT: A Large Language Model for Finance Zero: Memory optimizations toward training trillion parameter models

Reference 92

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:ad3c5f69ac02db1a798a8a6e7cdd7a504b5b05329e075554027e1ea8e925a357

Observation 1137a165-0c35-4603-b953-30357bb238ab · outbound

This paper cites Recipes for building an open-domain chatbot.

BloombergGPT: A Large Language Model for Finance Recipes for building an open-domain chatbot

Reference 93

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 87eb5203-e53c-4f3f-9886-80db26094feb · outbound

This paper cites WINOGRANDE : An adversarial winograd schema challenge at scale.

BloombergGPT: A Large Language Model for Finance WINOGRANDE : An adversarial winograd schema challenge at scale

Reference 94

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 3b41519c-7e89-4d36-b436-4c15fb77b8b6 · outbound

This paper cites Domain adaption of named entity recognition to support credit risk assessment.

BloombergGPT: A Large Language Model for Finance Domain adaption of named entity recognition to support credit risk assessment

Reference 95

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation bebddd6a-2ed9-4ea8-8619-c95ff093ce13 · outbound

This paper cites Multitask prompted training enables zero-shot task generalization.

BloombergGPT: A Large Language Model for Finance Multitask prompted training enables zero-shot task generalization

Reference 96

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 994c7cb7-29a5-4e23-b2bc-f5833310a213 · outbound

This paper cites BLOOM: A 176B-Parameter Open-Access Multilingual Language Model.

BloombergGPT: A Large Language Model for Finance BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Reference 97

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation f320f4f8-8d5d-4d20-956c-beb87996d00d · outbound

This paper cites Japanese and korean voice search.

BloombergGPT: A Large Language Model for Finance Japanese and korean voice search

Reference 98

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:bbb6672fed5338bf1a682340ca39f78fe4b6ffc1ac71ca1ea603fe065044b7e1

Observation 2f5e1940-d7db-4da7-bc56-16a3da6a70f9 · outbound

This paper cites Neural machine translation of rare words with subword units.

BloombergGPT: A Large Language Model for Finance Neural machine translation of rare words with subword units

Reference 99

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:f5c3be01ce73b4f501346af7c6da8cc9b70dc4d1cb69e0a0c8e9a4e3a4b3d93a

Observation c058b2e0-230e-4652-ba4e-5e5cbd48e8fd · outbound

This paper cites When FLUE meets FLANG : Benchmarks and large pretrained language model for financial domain.

BloombergGPT: A Large Language Model for Finance When FLUE meets FLANG : Benchmarks and large pretrained language model for financial domain

Reference 100

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:f35a7d5ff7fe7d2455e82be362de6a3b0546bcc09c2c390c2c4844bcd37d361c

Pith citing papers

Observation 4191cad0-22ca-4e8d-b145-429c81695a1f · inbound

A Comprehensive Overview of Large Language Models cites this paper.

A Comprehensive Overview of Large Language Models BloombergGPT: A Large Language Model for Finance

Reference 151

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 0b439e74-f687-4320-bd89-53a7edc538b3 · inbound

SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks cites this paper.

SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks BloombergGPT: A Large Language Model for Finance

Reference 15

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 931076b6-561b-4923-b667-727b6711a8b0 · inbound

Jailbreaking Black Box Large Language Models in Twenty Queries cites this paper.

Jailbreaking Black Box Large Language Models in Twenty Queries BloombergGPT: A Large Language Model for Finance

Reference 2

Resolution
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arxiv_id, observed 2026-05-13T23:19:47.153037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 8403215b-6f57-4e5b-8d2e-00bd97e024b8 · inbound

ConfusionPrompt: Practical Private Inference for Online Large Language Models cites this paper.

ConfusionPrompt: Practical Private Inference for Online Large Language Models BloombergGPT: A Large Language Model for Finance

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-05-24T04:58:54.889907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T04:57:55.197897Z digest=sha256:8e9ff0d52957ae873b12a710a0d2e61d025123f0370a746e0312e08c321d6ea8

Observation 9f439385-509d-43ac-bcc0-0bf8ceecd3bf · inbound

Quantifying Qualitative Insights: Leveraging LLMs to Market Predict cites this paper.

Quantifying Qualitative Insights: Leveraging LLMs to Market Predict BloombergGPT: A Large Language Model for Finance

Reference 26

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2dcd5189-2653-4560-9486-397eb26a22fe · inbound

Leveraging LLMs for Predictive Insights in Food Policy and Behavioral Interventions cites this paper.

Leveraging LLMs for Predictive Insights in Food Policy and Behavioral Interventions BloombergGPT: A Large Language Model for Finance

Reference 18

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unresolved
no resolver link, observed 2026-08-12T21:35:15.576770Z

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source=pdf_text observed=2026-08-12T21:35:15.576770Z digest=sha256:7c01dbf5239efce1b4d2d57988073aa31cc6db30e7d56eb8e5c69237174954de

Observation 6a7abff2-a505-46c9-94b9-a693b84cf03c · inbound

FinRobot: AI Agent for Equity Research and Valuation with Large Language Models cites this paper.

FinRobot: AI Agent for Equity Research and Valuation with Large Language Models BloombergGPT: A Large Language Model for Finance

Reference 2023

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source=pdf_text observed=2026-08-12T21:25:25.730348Z digest=sha256:ede3a17a48019be0d2f013df60d39bcfb410039a2f499b450f1748cb3404fa9c

Observation cc8db17d-c45e-44cf-8ee9-cc2c34b96e4b · inbound

Enhancing Financial Domain Adaptation of Language Models via Model Augmentation cites this paper.

Enhancing Financial Domain Adaptation of Language Models via Model Augmentation BloombergGPT: A Large Language Model for Finance

Reference 13

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source=pdf_text observed=2026-08-12T20:55:35.667492Z digest=sha256:57fea4a3da7a17361694fbf8c609d1b69c5270f5521e1c7f21e34e066a907889

Observation 1f38d0bf-4bd2-4854-aedc-89838b7ef7f3 · inbound

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs cites this paper.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs BloombergGPT: A Large Language Model for Finance

Reference 54

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source=arxiv_source observed=2026-08-12T18:51:31.960577Z digest=sha256:574b5632a09d137dcc4376c2c9a49e69a8e73aa203c34b8dc68f154660aa7db0

Observation 9d1d254f-98ea-45ab-b575-024bd5e5ab2c · inbound

METEOR: Evolutionary Journey of Large Language Models from Guidance to Self-Growth cites this paper.

METEOR: Evolutionary Journey of Large Language Models from Guidance to Self-Growth BloombergGPT: A Large Language Model for Finance

Reference 5

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source=pdf_text observed=2026-08-12T18:22:41.350469Z digest=sha256:57fd8be32d11b7a5bfc18121fb021efc1bea94e512e5940db6fcb38563744c53

Observation 25e0e7bd-67b8-4053-a4df-9fe37053adef · inbound

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems cites this paper.

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems BloombergGPT: A Large Language Model for Finance

Reference 7

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source=pdf_text observed=2026-08-12T17:38:40.368595Z digest=sha256:f9ccc312d8b523625dba3354e71a3339de177eee420ba05f7f894ca71f6c5765

Observation 6845199e-59ee-48a6-b76d-65db9fd41cde · inbound

Can ChatGPT Overcome Behavioral Biases in the Financial Sector? Classify-and-Rethink: Multi-Step Zero-Shot Reasoning in the Gold Investment cites this paper.

Can ChatGPT Overcome Behavioral Biases in the Financial Sector? Classify-and-Rethink: Multi-Step Zero-Shot Reasoning in the Gold Investment BloombergGPT: A Large Language Model for Finance

Reference 8

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source=pdf_text observed=2026-08-12T17:45:06.295085Z digest=sha256:e15a16029777c7a6988fd3a0e9207687d747c94ee5c706f62a214ffef81a82a8

Observation 7530f209-eea4-4070-a986-39e837a3f2e5 · inbound

MMGenBench: Fully Automatically Evaluating LMMs from the Text-to-Image Generation Perspective cites this paper.

MMGenBench: Fully Automatically Evaluating LMMs from the Text-to-Image Generation Perspective BloombergGPT: A Large Language Model for Finance

Reference 68

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no resolver link, observed 2026-08-12T15:39:32.693315Z

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source=pdf_text observed=2026-08-12T15:39:32.693315Z digest=sha256:a6e608d09d70e34c99e77f273e791bd821f4e54d03f5517228835d036c9910d8

Observation 4e86344f-2dba-484d-945a-43227c0febe8 · inbound

KBAlign: Efficient Self Adaptation on Specific Knowledge Bases cites this paper.

KBAlign: Efficient Self Adaptation on Specific Knowledge Bases BloombergGPT: A Large Language Model for Finance

Reference 31

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source=arxiv_source observed=2026-08-12T14:59:24.200015Z digest=sha256:2c54a1baee3f923c7cbe274d36a218a14b1f2dea467d280ca2fbcdec9d340133

Observation 30c4ff04-c8c6-4d35-8683-00a306cde251 · inbound

Fundamental Limits of Prompt Tuning Transformers: Universality, Capacity and Efficiency cites this paper.

Fundamental Limits of Prompt Tuning Transformers: Universality, Capacity and Efficiency BloombergGPT: A Large Language Model for Finance

Reference 66

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source=arxiv_source observed=2026-08-12T13:07:04.418264Z digest=sha256:b85674b0575e5a05cc57f7f6561df6124c745c8d1948f247857babf7bcd79d67

Observation b2ab107a-668b-4371-8abb-3c99bb1d6fc1 · inbound

InputSnatch: Stealing Input in LLM Services via Timing Side-Channel Attacks cites this paper.

InputSnatch: Stealing Input in LLM Services via Timing Side-Channel Attacks BloombergGPT: A Large Language Model for Finance

Reference 131

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source=pdf_text observed=2026-08-12T11:29:29.665296Z digest=sha256:2df6bc1368af8b30c27b74016379c05085f308a29bfc9222213b8325c0fa43d3

Observation 1f68c365-cfca-4ea5-afb6-6a910aa2b7d6 · inbound

MaintAGT:Sim2Real-Guided Multimodal Large Model for Intelligent Maintenance with Chain-of-Thought Reasoning cites this paper.

MaintAGT:Sim2Real-Guided Multimodal Large Model for Intelligent Maintenance with Chain-of-Thought Reasoning BloombergGPT: A Large Language Model for Finance

Reference 22

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source=pdf_text observed=2026-08-12T05:25:37.796765Z digest=sha256:8e313b45eefb39421b50458c27aef45b36cc87eca49453d59bfbe9280ccf0e1b

Observation 7c253d1f-369b-4409-aacf-63210f613854 · inbound

SeQwen at the Financial Misinformation Detection Challenge Task: Sequential Learning for Claim Verification and Explanation Generation in Financial Domains cites this paper.

SeQwen at the Financial Misinformation Detection Challenge Task: Sequential Learning for Claim Verification and Explanation Generation in Financial Domains BloombergGPT: A Large Language Model for Finance

Reference 13

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no resolver link, observed 2026-08-12T05:19:25.391464Z

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source=arxiv_source observed=2026-08-12T05:19:25.391464Z digest=sha256:3c9198892b989dbb84406ef2faa4673ce5fa4e2c783aaa6de0d97e804a580cac

Observation f05df334-f9b5-452d-8c83-212c601ec2c0 · inbound

CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search cites this paper.

CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search BloombergGPT: A Large Language Model for Finance

Reference 39

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source=arxiv_source observed=2026-08-12T04:34:14.651032Z digest=sha256:2d6b922c1ff0ad2723a943d5423e65edcceaa8bab1f26ecb0f5c80ead23393c6

Observation 7f264e8f-804b-4773-9e31-7615584b347a · inbound

A Primer on Large Language Models and their Limitations cites this paper.

A Primer on Large Language Models and their Limitations BloombergGPT: A Large Language Model for Finance

Reference 72

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source=pdf_text observed=2026-08-11T23:52:46.833806Z digest=sha256:81ee27a07b21ace7ff07f76781060c0432e52d5fda41be6213c103b5462698fd

Observation 109ab361-666d-42ae-957b-d9be254a3d80 · inbound

Political-LLM: Large Language Models in Political Science cites this paper.

Political-LLM: Large Language Models in Political Science BloombergGPT: A Large Language Model for Finance

Reference 6

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source=pdf_text observed=2026-08-11T19:52:03.791141Z digest=sha256:9f64e9a350a8af8c3a5104c72f34b12e96fb279fee0f3a2b4752dd239fcb0bdb

Observation aafafefd-47b3-479b-a978-6bd7537b79b3 · inbound

IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model cites this paper.

IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model BloombergGPT: A Large Language Model for Finance

Reference 23

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source=pdf_text observed=2026-08-11T18:58:50.187080Z digest=sha256:4527da68149e54ec6041014c4121503441e1957afd7ebe04b74368defbfa664c

Observation e14a8916-c6bd-4da8-89aa-336cfd74099e · inbound

Financial Sentiment Analysis: Leveraging Actual and Synthetic Data for Supervised Fine-tuning cites this paper.

Financial Sentiment Analysis: Leveraging Actual and Synthetic Data for Supervised Fine-tuning BloombergGPT: A Large Language Model for Finance

Reference 31

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source=pdf_text observed=2026-08-11T16:42:52.822565Z digest=sha256:1d7ea223697004c201e62d2fa503fdc21738eaf807021a34288d19f42abd94a1

Observation 837dac85-0c35-4d77-8720-c24c9d328772 · inbound

Memory-Efficient 4-bit Preconditioned Stochastic Optimization cites this paper.

Memory-Efficient 4-bit Preconditioned Stochastic Optimization BloombergGPT: A Large Language Model for Finance

Reference 54

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source=pdf_text observed=2026-08-11T15:50:24.323992Z digest=sha256:a881d2ac5669e0d4c7a53546aa20681ba2123fe1030a57fd3a33fc8037351021

Observation a962dbe4-0dae-427d-bf7d-8b73f1553355 · inbound

FinGPT: Enhancing Sentiment-Based Stock Movement Prediction with Dissemination-Aware and Context-Enriched LLMs cites this paper.

FinGPT: Enhancing Sentiment-Based Stock Movement Prediction with Dissemination-Aware and Context-Enriched LLMs BloombergGPT: A Large Language Model for Finance

Reference 18

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no resolver link, observed 2026-08-11T15:38:02.779060Z

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source=arxiv_source observed=2026-08-11T15:38:02.779060Z digest=sha256:6349333e23cc8dc2153314fb901f85740a6f53624ae9221f5a92bc0909818909

Observation 9f989ba3-8284-460d-9838-9a7779b09fe9 · inbound

SusGen-GPT: A Data-Centric LLM for Financial NLP and Sustainability Report Generation cites this paper.

SusGen-GPT: A Data-Centric LLM for Financial NLP and Sustainability Report Generation BloombergGPT: A Large Language Model for Finance

Reference 44

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no resolver link, observed 2026-08-11T15:33:34.534568Z

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source=arxiv_source observed=2026-08-11T15:33:34.534568Z digest=sha256:a0b7c9e751a38388e763aef6f0ee847d5bd2ee61b1ba31ed585ad81afd54cd0f

Observation 75d2096d-974e-4f25-9996-d2afc559e29d · inbound

Dual Traits in Probabilistic Reasoning of Large Language Models cites this paper.

Dual Traits in Probabilistic Reasoning of Large Language Models BloombergGPT: A Large Language Model for Finance

Reference 23

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no resolver link, observed 2026-08-11T15:29:48.773446Z

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source=pdf_text observed=2026-08-11T15:29:48.773446Z digest=sha256:fc6ed186b73a0af570ff45fe02ac1e8b0214fb6a3e24996c61f6d78750cfa901

Observation ea87c638-3923-44f4-8c73-dd40d7d8e51c · inbound

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs cites this paper.

TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs BloombergGPT: A Large Language Model for Finance

Reference 40

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source=arxiv_source observed=2026-08-11T15:13:23.642423Z digest=sha256:2907d731bd711d80567c8e274e40a9ce46265c3117fca9e9ab7a8bd016f006a3

Observation e2f9304d-de2f-4d5a-9e88-fc8542099eea · inbound

A Survey of Mathematical Reasoning in the Era of Multimodal Large Language Model: Benchmark, Method & Challenges cites this paper.

A Survey of Mathematical Reasoning in the Era of Multimodal Large Language Model: Benchmark, Method & Challenges BloombergGPT: A Large Language Model for Finance

Reference 2256

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source=pdf_text observed=2026-08-11T14:29:05.087342Z digest=sha256:3ef322925e647b900a42d4c0036a63d570149be04befd2a1579b0f5d24c4cef2

Observation 6847c00d-7341-4ab3-9bb9-27a891bb8be3 · inbound

ROMAS: A Role-Based Multi-Agent System for Database monitoring and Planning cites this paper.

ROMAS: A Role-Based Multi-Agent System for Database monitoring and Planning BloombergGPT: A Large Language Model for Finance

Reference 46

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no resolver link, observed 2026-08-11T13:07:16.050355Z

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source=arxiv_source observed=2026-08-11T13:07:16.050355Z digest=sha256:2b235c7442c3c1df49059720d7e104743c17fe661652596d9ed624364843e245

Observation a5f64223-f6d1-443e-957f-32700ba0aba7 · inbound

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts cites this paper.

Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts BloombergGPT: A Large Language Model for Finance

Reference 42

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source=arxiv_source observed=2026-08-11T12:35:00.584766Z digest=sha256:e20b90cf72f3d38b9cab2f14b7a9f41f13b95c27a6a88269e12f5d7df4606c81

Observation 6dc57b94-5027-49a9-9ddd-0a6a58681c77 · inbound

Baichuan4-Finance Technical Report cites this paper.

Baichuan4-Finance Technical Report BloombergGPT: A Large Language Model for Finance

Reference 2019

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source=pdf_text observed=2026-08-11T13:55:19.093047Z digest=sha256:c3e23e4f2b072e6850d8fe8951c6be6775fec9ab0536cb425c4bb11a5c7ef022

Observation 215f92d7-9168-4ee6-a12d-f5387818829b · inbound

Logical Consistency of Large Language Models in Fact-checking cites this paper.

Logical Consistency of Large Language Models in Fact-checking BloombergGPT: A Large Language Model for Finance

Reference 2017

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source=pdf_text observed=2026-08-11T10:51:40.098783Z digest=sha256:e388d4d5a9b78ba008e4782f9e21311a2b2d11881787b93ac1248c8e3995b9b4

Observation 4b3987d7-730c-4f14-9ef6-0ed258efafaa · inbound

One Size Does Not Fit All: Investigating Efficacy of Perplexity in Detecting LLM-Generated Code cites this paper.

One Size Does Not Fit All: Investigating Efficacy of Perplexity in Detecting LLM-Generated Code BloombergGPT: A Large Language Model for Finance

Reference 72

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no resolver link, observed 2026-08-11T10:32:47.916846Z

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source=pdf_text observed=2026-08-11T10:32:47.916846Z digest=sha256:430ac7abce7d917fe4c819a9a56b12c7ba26f0eda917d090ec6552a2d8cc3982

Observation 20b926c8-7e6d-4480-933e-b253289407d8 · inbound

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models cites this paper.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models BloombergGPT: A Large Language Model for Finance

Reference 37

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no resolver link, observed 2026-08-11T06:02:36.558385Z

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source=arxiv_source observed=2026-08-11T06:02:36.558385Z digest=sha256:0b9e5ae0dc0b48918995f87e687a341296e096c53703d62ae8c364ab45bcfbca

Observation 7788ee28-7ec2-4ff3-94bb-c0e5e4fe71f6 · inbound

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories cites this paper.

Prompting in the Wild: An Empirical Study of Prompt Evolution in Software Repositories BloombergGPT: A Large Language Model for Finance

Reference 54

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no resolver link, observed 2026-08-11T05:41:06.298240Z

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source=pdf_text observed=2026-08-11T05:41:06.298240Z digest=sha256:49ec3141426b5220bb8b6fd0b07b84ee42a0ae3d0fbd34247b3138b436b3cbe4

Observation 398468d6-b4fa-46b2-9016-07fe8e390c78 · inbound

Trading Devil RL: Backdoor attack via Stock market, Bayesian Optimization and Reinforcement Learning cites this paper.

Trading Devil RL: Backdoor attack via Stock market, Bayesian Optimization and Reinforcement Learning BloombergGPT: A Large Language Model for Finance

Reference 5

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source=pdf_text observed=2026-08-11T05:12:11.290171Z digest=sha256:e9d778aa1dc001ea7007f3ab1836b6db05da79f6fca9a75b2a7b05f114f03338

Observation 25491cf1-171a-48a8-9fe8-17464608d3f5 · inbound

ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation cites this paper.

ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation BloombergGPT: A Large Language Model for Finance

Reference 24

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source=pdf_text observed=2026-08-11T15:25:11.150496Z digest=sha256:767f938b952828f3478e31550869e4fd95a3e8a5015ec04f5fb525a95e3ac315

Observation 62e60fe4-ce38-4d3f-a973-c4f1a3b610b5 · inbound

A Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directions cites this paper.

A Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directions BloombergGPT: A Large Language Model for Finance

Reference 64

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no resolver link, observed 2026-08-11T14:15:31.480585Z

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source=pdf_text observed=2026-08-11T14:15:31.480585Z digest=sha256:eabf45cba672419540ea43e10ba514173b06dc8f76d2a8103766ae06515b31e8

Observation 7b87cf26-fb6d-463c-9f7d-0370e1632ee7 · inbound

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics cites this paper.

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics BloombergGPT: A Large Language Model for Finance

Reference 75

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source=pdf_text observed=2026-08-10T23:19:05.884626Z digest=sha256:244891b6246f6d9287a32935a93d28ffadcb6f9f445f0256de42a3720c3f9316

Observation eef6fd85-011b-4590-875d-daf19f9631d2 · inbound

Foundations of GenIR cites this paper.

Foundations of GenIR BloombergGPT: A Large Language Model for Finance

Reference 147

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source=pdf_text observed=2026-08-10T22:06:05.350542Z digest=sha256:fb4e1451721d2c33cbf64057742470dd9364c10e2c9a8456a69501476c4605a5

Observation aba5e752-5d54-47c2-a3c1-782f6629fba1 · inbound

The Internet of Large Language Models: An Orchestration Framework for LLM Training and Knowledge Exchange Toward Artificial General Intelligence cites this paper.

The Internet of Large Language Models: An Orchestration Framework for LLM Training and Knowledge Exchange Toward Artificial General Intelligence BloombergGPT: A Large Language Model for Finance

Reference 37

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source=pdf_text observed=2026-08-10T21:04:34.080875Z digest=sha256:1b0b93872218563273be245f5e8f7b6a15ae05a6170028f348219cef399033d5

Observation d59ce2a5-a6df-4166-adf2-80b2a96a2e6c · inbound

A Driver Advisory System Based on Large Language Model for High-speed Train cites this paper.

A Driver Advisory System Based on Large Language Model for High-speed Train BloombergGPT: A Large Language Model for Finance

Reference 7

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no resolver link, observed 2026-08-10T20:38:00.828380Z

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source=pdf_text observed=2026-08-10T20:38:00.828380Z digest=sha256:05e17834bfd8e7df71cd7432a0bd2277229403a532d38d865f27036dd2783e41

Observation 2ef12bfa-b868-4447-9aed-af0fa2f547c2 · inbound

Open FinLLM Leaderboard: Towards Financial AI Readiness cites this paper.

Open FinLLM Leaderboard: Towards Financial AI Readiness BloombergGPT: A Large Language Model for Finance

Reference 40

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source=pdf_text observed=2026-08-10T18:49:51.311780Z digest=sha256:7e2b94ae54727dc33316bab6ef78435c5a7928d1ec241ef5d5b23f4653e5eb61

Observation 007fc4b6-1098-468e-804f-e08b849c458c · inbound

FinSphere, a Real-Time Stock Analysis Agent Powered by Instruction-Tuned LLMs and Domain Tools cites this paper.

FinSphere, a Real-Time Stock Analysis Agent Powered by Instruction-Tuned LLMs and Domain Tools BloombergGPT: A Large Language Model for Finance

Reference 2004

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source=pdf_text observed=2026-08-10T21:41:21.646291Z digest=sha256:72a620e44cbd720214c9aaf59577a4d745e211e91813a2f611e3fd9d65649523

Observation 13a3e8ef-da92-49a3-9224-603cd5f68610 · inbound

LLM4WM: Adapting LLM for Wireless Multi-Tasking cites this paper.

LLM4WM: Adapting LLM for Wireless Multi-Tasking BloombergGPT: A Large Language Model for Finance

Reference 17

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source=pdf_text observed=2026-08-10T16:38:59.223802Z digest=sha256:27749d478189045e62d44db4f2f1723af6c58fe21fa4dbfcf40514e8ac92b396

Observation 373246ab-d231-4744-abcb-06c67d012b4b · inbound

Domaino1s: Guiding LLM Reasoning for Explainable Answers in High-Stakes Domains cites this paper.

Domaino1s: Guiding LLM Reasoning for Explainable Answers in High-Stakes Domains BloombergGPT: A Large Language Model for Finance

Reference 8

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source=pdf_text observed=2026-08-10T15:13:43.496100Z digest=sha256:a7fb35a7d25aea18cef6e58666a31b464c614ca0ae1c54ccd0fbd83dd8dd7f34

Observation c9c927a0-77a0-48d8-a9f5-7e37e5054ca0 · inbound

Federated Retrieval Augmented Generation for Multi-Product Question Answering cites this paper.

Federated Retrieval Augmented Generation for Multi-Product Question Answering BloombergGPT: A Large Language Model for Finance

Reference 15

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source=pdf_text observed=2026-08-10T14:46:04.374305Z digest=sha256:9a911ef88a3acc0e2e85359b42ae2e4f04c8c7f4489f250be891806197c495df

Observation 79018355-3ab2-4bba-92c9-0fe8abe98653 · inbound

Using Large Language Models for education managements in Vietnamese with low resources cites this paper.

Using Large Language Models for education managements in Vietnamese with low resources BloombergGPT: A Large Language Model for Finance

Reference 52

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source=arxiv_source observed=2026-08-10T14:44:27.224442Z digest=sha256:262602de2f2fad787da60624e2a584e9c965b285c9a15371f914d8ba73c9fc25

Observation d9de9a0a-3e57-46ab-9d63-7e2ea1b81895 · inbound

TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models cites this paper.

TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models BloombergGPT: A Large Language Model for Finance

Reference 18

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source=pdf_text observed=2026-08-10T05:35:54.111452Z digest=sha256:cefbe8a90a7f95f444706f62dda3bc7322139e9b40c0755eddd1d0859361c1ec

Observation 9abf5c5e-01ae-4b03-9169-91fe89941e92 · inbound

CoddLLM: Empowering Large Language Models for Data Analytics cites this paper.

CoddLLM: Empowering Large Language Models for Data Analytics BloombergGPT: A Large Language Model for Finance

Reference 69

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source=pdf_text observed=2026-08-09T19:30:38.630994Z digest=sha256:9952599313edc7be20e2f89440f90712367d37d9f83aea889f6fe06e897718d3

Observation 6ffbe22b-24b2-47eb-b625-e3e5f5962b5b · inbound

An End-To-End LLM Enhanced Trading System cites this paper.

An End-To-End LLM Enhanced Trading System BloombergGPT: A Large Language Model for Finance

Reference 2

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source=arxiv_source observed=2026-08-09T14:57:33.890276Z digest=sha256:70f35664370798e514e89041d3ed76d9b64139b471a5db53fed832174d77266c

Observation 60edaad5-42ea-4339-b59b-ba4625cf44e5 · inbound

LLMs to Support a Domain Specific Knowledge Assistant cites this paper.

LLMs to Support a Domain Specific Knowledge Assistant BloombergGPT: A Large Language Model for Finance

Reference 62

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source=arxiv_source observed=2026-08-08T23:35:38.567348Z digest=sha256:adf82202e43510bdcc34ae60ddb8e1a8e77ae762444a8ae4e4684c56ee69ada8

Observation 03d864db-e3d3-4784-b34c-74591dfc4cfd · inbound

KDA: A Knowledge-Distilled Attacker for Generating Diverse Prompts to Jailbreak LLMs cites this paper.

KDA: A Knowledge-Distilled Attacker for Generating Diverse Prompts to Jailbreak LLMs BloombergGPT: A Large Language Model for Finance

Reference 41

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source=arxiv_source observed=2026-08-09T04:22:00.600486Z digest=sha256:4e604904696a36fda480a897713fc716b177cdc28cf43fae15ffc0d16289d799

Observation 1b29f02b-07d8-419f-80a7-3eff16d7dd82 · inbound

A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations cites this paper.

A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations BloombergGPT: A Large Language Model for Finance

Reference 2023

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source=pdf_text observed=2026-08-09T00:49:59.959518Z digest=sha256:f95acdd66d333305a2af3c8b9c9cbd22b4a40bfe3688393ecd257d665fc73941

Observation af1548e9-f7f1-4979-887c-12e9df60c59e · inbound

OntoTune: Ontology-Driven Self-training for Aligning Large Language Models cites this paper.

OntoTune: Ontology-Driven Self-training for Aligning Large Language Models BloombergGPT: A Large Language Model for Finance

Reference 60

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source=pdf_text observed=2026-08-08T19:12:42.431145Z digest=sha256:25da17359888d5fe033269f792b73b37a5b1e9fb6251acb98ba9ef86a645a4d8

Observation 38f68e9b-3ebf-43dc-a978-51d08a286d38 · inbound

DeepThink: Aligning Language Models with Domain-Specific User Intents cites this paper.

DeepThink: Aligning Language Models with Domain-Specific User Intents BloombergGPT: A Large Language Model for Finance

Reference 28

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source=arxiv_source observed=2026-08-08T19:08:57.638700Z digest=sha256:22b059d22a6eed3ec013c3a3abd55a6f1d9550fea24801693e8efa7d12c56900

Observation 15e23fd8-2808-4a1b-b894-27a405414ed0 · inbound

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis cites this paper.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis BloombergGPT: A Large Language Model for Finance

Reference 24

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source=pdf_text observed=2026-08-08T16:33:53.556563Z digest=sha256:8e189bb401c5687ef1d05751aaa41b0874fba511e2d0a70140c8611e79cc5099

Observation 4dd84ba1-c576-4af3-9e90-373566e8cf57 · inbound

TWICE: What Advantages Can Low-Resource Domain-Specific Embedding Model Bring? -- A Case Study on Korea Financial Texts cites this paper.

TWICE: What Advantages Can Low-Resource Domain-Specific Embedding Model Bring? -- A Case Study on Korea Financial Texts BloombergGPT: A Large Language Model for Finance

Reference 15

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source=pdf_text observed=2026-08-08T13:46:41.735855Z digest=sha256:c285001a73ef9e7a817d87bf63478b03abb9fe7970c84b80bd4f2ccabbb391a8

Observation c3e9a543-512f-4c6e-840b-54c6910c9d22 · inbound

Fino1: On the Transferability of Reasoning-Enhanced LLMs and Reinforcement Learning to Finance cites this paper.

Fino1: On the Transferability of Reasoning-Enhanced LLMs and Reinforcement Learning to Finance BloombergGPT: A Large Language Model for Finance

Reference 36

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source=pdf_text observed=2026-08-08T10:25:13.083270Z digest=sha256:7fcc856146a53312987b96bc650c88f67f0d65fbd645c729bbfbff20e069334a

Observation 29f81eec-d1d1-4f57-97b7-67e05e7af0ca · inbound

Bridging the Safety Gap: A Guardrail Pipeline for Trustworthy LLM Inferences cites this paper.

Bridging the Safety Gap: A Guardrail Pipeline for Trustworthy LLM Inferences BloombergGPT: A Large Language Model for Finance

Reference 2023

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source=pdf_text observed=2026-08-08T10:23:06.277785Z digest=sha256:0deba29c174d54b1b11ce54262adcc5001a1f9c538fea534aef5061bef62fa6e

Observation 9182115a-589e-47ae-bf2e-b8b63f0daf99 · inbound

Bridging Language Models and Financial Analysis cites this paper.

Bridging Language Models and Financial Analysis BloombergGPT: A Large Language Model for Finance

Reference 106

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local_arxiv, observed 2026-05-23T01:12:20.990236Z

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source=pdf_text observed=2026-05-23T01:08:58.528533Z digest=sha256:557812eff355e48aaa32410b360de92ea99fffed94c3f107a5607324d9e219f6

Observation 0187f15a-cc82-4483-a212-1ffaf1aa36b9 · inbound

MulFSA: Multi-level Financial Sentiment Analysis Framework for Bond Market cites this paper.

MulFSA: Multi-level Financial Sentiment Analysis Framework for Bond Market BloombergGPT: A Large Language Model for Finance

Reference 13

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local_arxiv, observed 2026-05-22T21:52:10.837940Z

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source=pdf_text observed=2026-05-22T21:50:24.666622Z digest=sha256:5b0bb19522e84bf3f44d48080fd2430e231d6e4ca7f964a15f10681f4d6f24f6

Observation d26983a0-b370-4609-8c1e-17d261380895 · inbound

Deploying Large AI Models on Resource-Limited Devices with Split Federated Learning cites this paper.

Deploying Large AI Models on Resource-Limited Devices with Split Federated Learning BloombergGPT: A Large Language Model for Finance

Reference 4

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verified exact
local_arxiv, observed 2026-05-22T21:12:08.750411Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-22T21:07:40.706681Z digest=sha256:d308e9e035a87e427ee9d0b2969c8ae9bdfc05367ff54e8532797502c3603fcb

Observation 89e7d83b-9427-42b3-a8b0-b454b915da9b · inbound

Scaling Instruction-Tuned LLMs to Million-Token Contexts via Hierarchical Synthetic Data Generation cites this paper.

Scaling Instruction-Tuned LLMs to Million-Token Contexts via Hierarchical Synthetic Data Generation BloombergGPT: A Large Language Model for Finance

Reference 29

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source=arxiv_source observed=2026-08-16T12:30:12.270024Z digest=sha256:7475fd840ba526b40976bfc96a5e484d9545262182997f244de27c3c54427fe5

Observation 85ae0514-0e4a-4e15-bf14-57c44ce2ac26 · inbound

Continual Pre-Training is (not) What You Need in Domain Adaption cites this paper.

Continual Pre-Training is (not) What You Need in Domain Adaption BloombergGPT: A Large Language Model for Finance

Reference 31

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source=arxiv_source observed=2026-08-16T12:07:46.827795Z digest=sha256:e8dad19a2e4a173f3a99eaa3c1356707e29ab24d4d88267877bed3cb6b107576

Observation 9741034d-3f68-42da-b58e-f2bb39e75265 · inbound

Efficient Split Federated Learning for Large Language Models over Communication Networks cites this paper.

Efficient Split Federated Learning for Large Language Models over Communication Networks BloombergGPT: A Large Language Model for Finance

Reference 5

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source=pdf_text observed=2026-08-16T11:48:04.026964Z digest=sha256:00ce7178bde8424e31c4217f0d6f9b471f2b884f34df0ea1767b263a12e1d90c

Observation c22094aa-492a-4f40-bd00-c1e70870c18c · inbound

DMind Benchmark: Toward a Holistic Assessment of LLM Capabilities across the Web3 Domain cites this paper.

DMind Benchmark: Toward a Holistic Assessment of LLM Capabilities across the Web3 Domain BloombergGPT: A Large Language Model for Finance

Reference 66

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source=arxiv_source observed=2026-08-16T12:04:24.396802Z digest=sha256:b8eb78a625ecbe0b9eb2e05d8404e5bd36936726795ad17a1e920438105a9346

Observation 1f125c16-4690-4113-bb8d-174f11e7d900 · inbound

Breaking the Prompt Wall (I): A Real-World Case Study of Attacking ChatGPT via Lightweight Prompt Injection cites this paper.

Breaking the Prompt Wall (I): A Real-World Case Study of Attacking ChatGPT via Lightweight Prompt Injection BloombergGPT: A Large Language Model for Finance

Reference 9

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source=arxiv_source observed=2026-08-16T11:51:19.336394Z digest=sha256:db76589630a6437297fdf6e2053349b8b1ff4fd2bd46919adb3ee19a11269264

Observation eefb65b5-b65b-45f0-aaa4-afdd1f1b1a88 · inbound

FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking cites this paper.

FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking BloombergGPT: A Large Language Model for Finance

Reference 9

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source=pdf_text observed=2026-08-16T11:15:56.251530Z digest=sha256:d00ad3797a13ef22eb0dee48416ed027932518ed50ae75593641a5bffc15af65

Observation 7b7bb11c-3f88-485b-9ddc-b45ad2aefa6c · inbound

Towards Harnessing the Collaborative Power of Large and Small Models for Domain Tasks cites this paper.

Towards Harnessing the Collaborative Power of Large and Small Models for Domain Tasks BloombergGPT: A Large Language Model for Finance

Reference 7

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source=pdf_text observed=2026-08-16T10:44:46.102577Z digest=sha256:95c3346e60de41476fae8c58abdcf2e3b1763e2ee965d6809568ad2f34846d0e

Observation 671412c8-c8ae-4062-9ab7-143bd839b3d3 · inbound

RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models cites this paper.

RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models BloombergGPT: A Large Language Model for Finance

Reference 12

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source=pdf_text observed=2026-08-16T10:29:57.458833Z digest=sha256:aa4649e302669a198eacdd4c8d0d8d0f5c47a339165d75d68b8c6eb6644250f0

Observation ab0e0de5-8bef-43d9-bb60-5faa37dcba8b · inbound

Understanding and Mitigating Risks of Generative AI in Financial Services cites this paper.

Understanding and Mitigating Risks of Generative AI in Financial Services BloombergGPT: A Large Language Model for Finance

Reference 93

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source=pdf_text observed=2026-08-16T10:19:10.673689Z digest=sha256:578d798856c780c4514dac87a9ae56c62509a9e2cfeb9e7ca723e87ece9ee505

Observation ed91db5a-f89e-4f46-851a-57cee8140537 · inbound

SAGA: A Security Architecture for Governing AI Agentic Systems cites this paper.

SAGA: A Security Architecture for Governing AI Agentic Systems BloombergGPT: A Large Language Model for Finance

Reference 3

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source=pdf_text observed=2026-08-16T05:58:53.128464Z digest=sha256:f1d69a9a67c57c0d33948c116c0ebf6ff18c025469a7fd23a5f6caa2ae64cd57

Observation 9a986e99-99c9-44f8-95f4-bd7bfa71ec41 · inbound

Generative AI in Financial Institution: A Global Survey of Opportunities, Threats, and Regulation cites this paper.

Generative AI in Financial Institution: A Global Survey of Opportunities, Threats, and Regulation BloombergGPT: A Large Language Model for Finance

Reference 2

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source=pdf_text observed=2026-08-16T05:02:31.897057Z digest=sha256:29f0839bff0b51432432aace9c59d77c2a6c19da0dbf3d9d0220bc31da6fb202

Observation 7f2f461c-fdf6-4ed6-b195-8d1b64ca61d5 · inbound

Multi-agents based User Values Mining for Recommendation cites this paper.

Multi-agents based User Values Mining for Recommendation BloombergGPT: A Large Language Model for Finance

Reference 54

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no resolver link, observed 2026-08-16T04:34:36.654216Z

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source=pdf_text observed=2026-08-16T04:34:36.654216Z digest=sha256:76a27fad821282c4985e3e1f55cb6c2182f588e1d5bbbccdeb969e5efff2013c

Observation ed6b4d9e-aeb6-45e8-93ac-575cad2c27bd · inbound

Incentivizing Inclusive Contributions in Model Sharing Markets cites this paper.

Incentivizing Inclusive Contributions in Model Sharing Markets BloombergGPT: A Large Language Model for Finance

Reference 13

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source=pdf_text observed=2026-08-16T01:04:58.578855Z digest=sha256:02d41c432a67f24608ea51782094641b83ee685f1b3af89c52198ab9a230471d

Observation 87248101-a4a5-445b-a22e-147986c8e4a4 · inbound

HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models cites this paper.

HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models BloombergGPT: A Large Language Model for Finance

Reference 8

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source=pdf_text observed=2026-08-16T00:46:32.326578Z digest=sha256:f011e342e2447318675a147d7f32733e0cbd3e56b58d4004debe8a065146b7b7

Observation 7b1ca2d4-da5c-42a1-8fc0-354cb047beb8 · inbound

Enhancing ML Model Interpretability: Leveraging Fine-Tuned Large Language Models for Better Understanding of AI cites this paper.

Enhancing ML Model Interpretability: Leveraging Fine-Tuned Large Language Models for Better Understanding of AI BloombergGPT: A Large Language Model for Finance

Reference 30

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source=pdf_text observed=2026-08-16T04:19:52.182854Z digest=sha256:c0d1fa48df2236c3cb6f176c6dd876b631136eed1a677979c992c86752eb0db0

Observation d6c3ca94-d4e3-4fb5-872f-15a01aae2030 · inbound

DocVXQA: Context-Aware Visual Explanations for Document Question Answering cites this paper.

DocVXQA: Context-Aware Visual Explanations for Document Question Answering BloombergGPT: A Large Language Model for Finance

Reference 16

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source=pdf_text observed=2026-08-15T22:20:55.556647Z digest=sha256:8fd5e8463a987ce95275c7d28503ac261fb580e00ca861074b29ef9e3e18bd47

Observation 845eb3c9-27cd-4afa-9650-992dfa7d5eeb · inbound

ToolACE-DEV: Self-Improving Tool Learning via Decomposition and EVolution cites this paper.

ToolACE-DEV: Self-Improving Tool Learning via Decomposition and EVolution BloombergGPT: A Large Language Model for Finance

Reference 44

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no resolver link, observed 2026-08-15T22:19:24.910472Z

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source=arxiv_source observed=2026-08-15T22:19:24.910472Z digest=sha256:3c113348b6f6a1dc224433d7847b27517a99609a3b27499efd4efb92b708bff6

Observation 05c0d9ba-04ab-4091-a179-a7511fc369a9 · inbound

Evaluating Financial Sentiment Analysis with Annotators Instruction Assisted Prompting: Enhancing Contextual Interpretation and Stock Prediction Accuracy cites this paper.

Evaluating Financial Sentiment Analysis with Annotators Instruction Assisted Prompting: Enhancing Contextual Interpretation and Stock Prediction Accuracy BloombergGPT: A Large Language Model for Finance

Reference 45

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no resolver link, observed 2026-08-15T22:51:27.525423Z

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source=pdf_text observed=2026-08-15T22:51:27.525423Z digest=sha256:73616f28a59bf03fd895216d01ddd7859a716a3f0bde79508837e1d2332433d7

Observation 8117f115-695f-49c9-83c2-b957223d47c0 · inbound

Truth Neurons cites this paper.

Truth Neurons BloombergGPT: A Large Language Model for Finance

Reference 50

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source=pdf_text observed=2026-08-15T20:44:26.018979Z digest=sha256:b0c76cf1a9a67ae3303bff294502907bd594dcbed60c818d9fc2b8731e211c7c

Observation a408c776-c4c4-44dd-85a1-ee19fb0688de · inbound

Evaluating the efficacy of LLM Safety Solutions : The Palit Benchmark Dataset cites this paper.

Evaluating the efficacy of LLM Safety Solutions : The Palit Benchmark Dataset BloombergGPT: A Large Language Model for Finance

Reference 75

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source=pdf_text observed=2026-08-15T20:24:51.613275Z digest=sha256:31676ab89246df831765e317394f491e1cfe0ee297e4ec24746c470e77842625

Observation 2501c6c9-491c-4b3b-83be-d522222da455 · inbound

KERL: Knowledge-Enhanced Personalized Recipe Recommendation using Large Language Models cites this paper.

KERL: Knowledge-Enhanced Personalized Recipe Recommendation using Large Language Models BloombergGPT: A Large Language Model for Finance

Reference 59

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source=arxiv_source observed=2026-08-07T15:36:53.452694Z digest=sha256:759fe2fb3f4c21e08a3c8424d79a417765dbb578540ab7adcd8e3fc4671cfece

Observation 0e0ce867-36c0-47f3-a06a-c744fd4ca79e · inbound

The Evolution of Alpha in Finance Harnessing Human Insight and LLM Agents cites this paper.

The Evolution of Alpha in Finance Harnessing Human Insight and LLM Agents BloombergGPT: A Large Language Model for Finance

Reference 20

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source=pdf_text observed=2026-08-15T20:13:38.699189Z digest=sha256:d2d931b54463404e8a3a07c9e214436438e0ddedced9f4d8687256f394985359

Observation e2f33942-d4c4-4e31-afc4-f311c9911e1a · inbound

Know the Ropes: A Heuristic Strategy for LLM-based Multi-Agent System Design cites this paper.

Know the Ropes: A Heuristic Strategy for LLM-based Multi-Agent System Design BloombergGPT: A Large Language Model for Finance

Reference 28

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source=arxiv_source observed=2026-08-07T14:56:35.598851Z digest=sha256:f6a7550b6b9236e52a0911445be031d52b8e1eb2dd4686572d02b1012154df7b

Observation c12da15b-ba74-49f9-8e32-1f7ce8c913db · inbound

Analyzing Political Bias in LLMs via Target-Oriented Sentiment Classification cites this paper.

Analyzing Political Bias in LLMs via Target-Oriented Sentiment Classification BloombergGPT: A Large Language Model for Finance

Reference 44

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source=arxiv_source observed=2026-08-07T14:10:33.148693Z digest=sha256:cdd7b32f588bfc7f1f6235fe54a90a43445d1f25cf23ab5ab2f4194ad3a37742

Observation 6a7734a0-f17d-4fb9-ade4-fbc60d005084 · inbound

FinLoRA: Benchmarking LoRA Methods for Fine-Tuning LLMs on Financial Datasets cites this paper.

FinLoRA: Benchmarking LoRA Methods for Fine-Tuning LLMs on Financial Datasets BloombergGPT: A Large Language Model for Finance

Reference 42

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source=pdf_text observed=2026-08-07T14:11:42.163647Z digest=sha256:15b2821b69ad8fad125dd578afeb8439384368de7555382d6d21153d1d129234

Observation fcee688e-b778-446a-aaef-556320014db0 · inbound

KPerfIR: Towards an Open and Compiler-centric Ecosystem for GPU Kernel Performance Tooling on Modern AI Workloads cites this paper.

KPerfIR: Towards an Open and Compiler-centric Ecosystem for GPU Kernel Performance Tooling on Modern AI Workloads BloombergGPT: A Large Language Model for Finance

Reference 51

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source=pdf_text observed=2026-08-07T13:30:24.734854Z digest=sha256:1df51c12480094f9e1dd3c0f21d1e2ba365ef352055b1df6809d96d6d38aae1d

Observation fc4ff98a-5edf-47a3-9ce3-14fb17f2d607 · inbound

Climate Finance Bench cites this paper.

Climate Finance Bench BloombergGPT: A Large Language Model for Finance

Reference 25

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source=pdf_text observed=2026-08-07T13:05:42.938149Z digest=sha256:806f8de7c090741711c96e3aede01a97673f7d6a7a162b8642e1b6df305351de

Observation c99349e6-daec-42d9-ba86-18fa5b311b9a · inbound

FinRipple: Aligning Large Language Models with Financial Market for Event Ripple Effect Awareness cites this paper.

FinRipple: Aligning Large Language Models with Financial Market for Event Ripple Effect Awareness BloombergGPT: A Large Language Model for Finance

Reference 38

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source=arxiv_source observed=2026-08-07T13:24:41.913677Z digest=sha256:e53b02822b518498044f7676cfa04bfed525028e70a1ac1ed0e3d325fe654898

Observation 6ec605de-17de-4ada-b54a-c80acafc34ba · inbound

Fine-Tune an SLM or Prompt an LLM? The Case of Generating Low-Code Workflows cites this paper.

Fine-Tune an SLM or Prompt an LLM? The Case of Generating Low-Code Workflows BloombergGPT: A Large Language Model for Finance

Reference 35

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source=pdf_text observed=2026-08-07T12:35:40.932184Z digest=sha256:f902f374cde156c519c53c3a4868152423317f1f9790520d295ebd2dd2072f65

Observation d72ae51a-1b6f-41ba-a68c-72cf4ba3c543 · inbound

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning cites this paper.

Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning BloombergGPT: A Large Language Model for Finance

Reference 35

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source=pdf_text observed=2026-08-07T12:24:18.105079Z digest=sha256:e2fb6ff39a2353e80999704cac44090b89ccdc4cf130b7d285c315a5100d8dff

Observation 89ddf7d7-578e-4284-aaaa-4b807207718d · inbound

FinRobot: Generative Business Process AI Agents for Enterprise Resource Planning in Finance cites this paper.

FinRobot: Generative Business Process AI Agents for Enterprise Resource Planning in Finance BloombergGPT: A Large Language Model for Finance

Reference 41

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source=pdf_text observed=2026-08-07T11:49:11.077336Z digest=sha256:40cf9c1e966f922a930e70bfe6ab935b6163b9ed1dd319e982a545eebc66edf5

Observation d0b3a8bd-391c-4159-a394-2c31c74cd55e · inbound

Multimodal Financial Foundation Models (MFFMs): Progress, Prospects, and Challenges cites this paper.

Multimodal Financial Foundation Models (MFFMs): Progress, Prospects, and Challenges BloombergGPT: A Large Language Model for Finance

Reference 82

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source=pdf_text observed=2026-08-15T21:19:59.200093Z digest=sha256:2840b66d8426543aacdad1af9617e6888a52a8712d7c3215d5240e1a62ae15c9

Observation 64e7d9c4-810c-4475-9db8-e06a07257322 · inbound

PulseReddit: A Novel Reddit Dataset for Benchmarking MAS in High-Frequency Cryptocurrency Trading cites this paper.

PulseReddit: A Novel Reddit Dataset for Benchmarking MAS in High-Frequency Cryptocurrency Trading BloombergGPT: A Large Language Model for Finance

Reference 28

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source=arxiv_source observed=2026-08-07T10:57:11.386839Z digest=sha256:9854ee431fb7ed94e6d699783430f395287005f6b4480d75539e1e62aaa8726e

Observation 37868bec-9c14-494e-9958-fb1e48341cd2 · inbound

Reasoning or Overthinking: Evaluating Large Language Models on Financial Sentiment Analysis cites this paper.

Reasoning or Overthinking: Evaluating Large Language Models on Financial Sentiment Analysis BloombergGPT: A Large Language Model for Finance

Reference 42

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source=pdf_text observed=2026-08-07T10:42:54.851432Z digest=sha256:5254aa05943f85f0b20e8702713ddbb04840faba665b6d906789a8cb762421da

Observation 182a9a07-8cba-48eb-aae9-be08dc44338a · inbound

RKEFino1: A Regulation Knowledge-Enhanced Large Language Model cites this paper.

RKEFino1: A Regulation Knowledge-Enhanced Large Language Model BloombergGPT: A Large Language Model for Finance

Reference 9

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source=pdf_text observed=2026-08-07T10:17:14.886814Z digest=sha256:e5fdd08c50f8bb232c0c7516e6fa4430b40ffd5d775c818fa91ba3da48534d31

Observation 2ede14f4-fd09-4e7a-badd-e2970a7ec7c1 · inbound

FinBERT2: A Specialized Bidirectional Encoder for Bridging the Gap in Finance-Specific Deployment of Large Language Models cites this paper.

FinBERT2: A Specialized Bidirectional Encoder for Bridging the Gap in Finance-Specific Deployment of Large Language Models BloombergGPT: A Large Language Model for Finance

Reference 41

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source=pdf_text observed=2026-08-07T12:05:39.292735Z digest=sha256:b48b058200dfb10f2cdb5eb268143308a216b25b6a50a67adcad4bde77ac8ffb