Continually Self-Improving Language Models for Bariatric Surgery Question--Answering | Paper Citation Record

Observation f9486264-2f07-48e7-8978-bc6ea0d163aa · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:43.522049Z

Source-reported events for the cited work

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Observation daade3b9-c91c-4ccd-8e55-acfc1ba67d7b · outbound

This paper cites Medical large language models are vulnerable to data-poisoning attacks.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering Medical large language models are vulnerable to data-poisoning attacks

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:53.994570Z

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This paper cites See, hear, read: Leveraging multimodality with guided attention for abstractive text summarization.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering See, hear, read: Leveraging multimodality with guided attention for abstractive text summarization

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:43.711350Z

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This paper cites Fusing multimodal signals on hyper-complex space for extreme abstractive text summarization (tl;dr) of scientific contents.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering Fusing multimodal signals on hyper-complex space for extreme abstractive text summarization (tl;dr) of scientific contents

Reference 4

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This paper cites Multi-document summarization using selective attention span and reinforcement learning.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering Multi-document summarization using selective attention span and reinforcement learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:43.877116Z

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Observation 57e6fa92-b6f7-4956-b535-d9eaa359a3ff · outbound

This paper cites Promoting topic coherence and inter-document consorts in multi-document summarization via simplicial complex and sheaf graph.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering Promoting topic coherence and inter-document consorts in multi-document summarization via simplicial complex and sheaf graph

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:44.071500Z

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Observation 30fbb507-68e3-4437-9dbf-c591d4365e4a · outbound

This paper cites Zierath, and Charlotte Ling.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering Zierath, and Charlotte Ling

Reference 7

Resolution: verified exact; doi, observed 2026-08-07T15:09:52.056030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e74a5dfd-2f97-4aef-81d3-2b8fc41c7e9e · outbound

This paper cites Bartholomay, Patrick W.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering Bartholomay, Patrick W

Reference 8

Resolution: verified exact; doi, observed 2026-08-07T15:09:51.918511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 538f8f06-4151-4892-bcd0-6ec1a4cdd45d · outbound

This paper cites Why we need to be careful with LLMs in medicine.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering Why we need to be careful with LLMs in medicine

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:53.784002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8c937ddf-7878-4a8d-9b50-d0ea9ca01f54 · outbound

This paper cites Bjerkan, Audun Viste, Else M.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering Bjerkan, Audun Viste, Else M

Reference 10

Resolution: verified exact; doi, observed 2026-08-07T15:09:51.774128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0d87d596-238d-4492-9784-9a63e2bf0ad2 · outbound

This paper cites Forag: Factuality-optimized retrieval augmented generation for web-enhanced long-form question answering.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering Forag: Factuality-optimized retrieval augmented generation for web-enhanced long-form question answering

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:44.987493Z

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Observation 152aa193-b034-4b08-afd1-2c6d803c0e36 · outbound

This paper cites Dated Data: Tracing Knowledge Cutoffs in Large Language Models.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering Dated Data: Tracing Knowledge Cutoffs in Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:45.121922Z

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This paper cites English, Michel Gagner, William B.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering English, Michel Gagner, William B

Reference 13

Resolution: verified exact; doi, observed 2026-08-07T15:09:51.668824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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This paper cites David, Ivana Sijercic, and Stephanie E.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering David, Ivana Sijercic, and Stephanie E

Reference 14

Resolution: verified exact; doi, observed 2026-08-07T15:09:51.506907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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This paper cites Corpora evaluation and system bias detection in multi-document summarization.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering Corpora evaluation and system bias detection in multi-document summarization

Reference 15

Resolution: verified exact; doi, observed 2026-08-07T15:09:51.393096Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:45.695828Z

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Observation 3d8e70df-7c57-45e3-8514-d41b7839cad8 · outbound

This paper cites The Llama 3 Herd of Models.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering The Llama 3 Herd of Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:45.843259Z

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Observation 4b439d0a-eb5a-418b-8a24-6276b2945dbe · outbound

This paper cites Groller, Kasey M.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering Groller, Kasey M

Reference 18

Resolution: verified exact; doi, observed 2026-08-07T15:09:51.262147Z

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Observation aeb7b4aa-a619-4158-8cfc-c16c06064249 · outbound

This paper cites Context Awareness Gate For Retrieval Augmented Generation.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering Context Awareness Gate For Retrieval Augmented Generation

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:09:52.337960Z

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Observation a95c9e67-3da0-4049-a160-5e3b32719609 · outbound

This paper cites The experience of australian general practice patients at high risk of poor health outcomes with telehealth during the COVID-19 pandemic: a qualitative study.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering The experience of australian general practice patients at high risk of poor health outcomes with telehealth during the COVID-19 pandemic: a qualitative study

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:53.574170Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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This paper cites Mistral 7B.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering Mistral 7B

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:46.344928Z

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This paper cites Retrieve, Summarize, Plan: Advancing Multi-hop Question Answering with an Iterative Approach.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering Retrieve, Summarize, Plan: Advancing Multi-hop Question Answering with an Iterative Approach

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:46.455760Z

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Continually Self-Improving Language Models for Bariatric Surgery Question--Answering P ub M ed QA : A dataset for biomedical research question answering

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:46.577494Z

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This paper cites Efficient medical question answering with knowledge-augmented question generation.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering Efficient medical question answering with knowledge-augmented question generation

Reference 24

Resolution: verified exact; doi, observed 2026-08-07T15:09:51.149248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a23bd6cc-acc1-49e5-b2f1-21da80122041 · outbound

This paper cites Kim, Melissa S.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering Kim, Melissa S

Reference 25

Resolution: verified exact; doi, observed 2026-08-07T15:09:51.051381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9f66dab0-8bc1-4854-8a67-e8a34a9eea16 · outbound

This paper cites M ed E x QA : Medical question answering benchmark with multiple explanations.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering M ed E x QA : Medical question answering benchmark with multiple explanations

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:47.031124Z

Source-reported events for the cited work

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This paper cites Large Language Models are Zero-Shot Reasoners.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering Large Language Models are Zero-Shot Reasoners

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:47.141520Z

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Observation da1e4d91-306e-4430-acb4-31ef2eb91f00 · outbound

This paper cites u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt\.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt\

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:47.275476Z

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Observation 7abc0836-f3db-4217-89ab-e987b545f936 · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:47.409354Z

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Observation c14993c3-47f1-4053-ba65-962ec5e4a8cf · outbound

This paper cites Enhancing LLM Factual Accuracy with RAG to Counter Hallucinations: A Case Study on Domain-Specific Queries in Private Knowledge-Bases.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering Enhancing LLM Factual Accuracy with RAG to Counter Hallucinations: A Case Study on Domain-Specific Queries in Private Knowledge-Bases

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:47.515290Z

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Observation d2fd038a-ee46-464a-be2e-a68375f36ef6 · outbound

This paper cites an unresolved cited work.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering Unresolved cited work

Reference 31

Resolution: verified exact; doi, observed 2026-08-07T15:09:50.875565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d3ff5280-c60e-4c82-b22e-a63908f40e95 · outbound

This paper cites C linical RAG : Enhancing clinical decision support through heterogeneous knowledge retrieval.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering C linical RAG : Enhancing clinical decision support through heterogeneous knowledge retrieval

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:47.733289Z

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This paper cites Kiran, Robert S.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering Kiran, Robert S

Reference 33

Resolution: verified exact; doi, observed 2026-08-07T15:09:50.725988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f117aaa6-35ec-4774-b7b3-15955af86239 · outbound

This paper cites Mechanick, Caroline Apovian, Stephen Brethauer, W.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering Mechanick, Caroline Apovian, Stephen Brethauer, W

Reference 34

Resolution: verified exact; doi, observed 2026-08-07T15:09:53.419479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d1ce8028-2b11-480d-a7f9-467f2518221a · outbound

This paper cites Large Language Models: A Survey.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering Large Language Models: A Survey

Reference 35

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Observation 0cb92562-55d4-4f90-8735-2c7520d892af · outbound

This paper cites Enhancing postoperative care with telemedicine and remote monitoring for improved recovery and patient safety.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering Enhancing postoperative care with telemedicine and remote monitoring for improved recovery and patient safety

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:53.283027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ecb14557-dba0-41d6-b5fb-fbb3a796ee52 · outbound

This paper cites Usability of mobile health apps for postoperative care: Systematic review.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering Usability of mobile health apps for postoperative care: Systematic review

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:53.145253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9193316f-3de5-48fc-9947-52638c3a394e · outbound

This paper cites M edi F act at MEDIQA - M 3 G 2024: Medical question answering in dermatology with multimodal learning.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering M edi F act at MEDIQA - M 3 G 2024: Medical question answering in dermatology with multimodal learning

Reference 38

Resolution: verified exact; doi, observed 2026-08-07T15:09:50.536496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 26ad9e57-7a2e-4db4-9b80-ce7c0b25a22b · outbound

This paper cites an unresolved cited work.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering Unresolved cited work

Reference 39

Resolution: verified exact; doi, observed 2026-08-07T15:09:50.370767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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This paper cites Setarehdan, Ameneh Ziaee, Ramin Niknam, Sahar Ghassemi, Fatemeh Mehrabi, Mohsen Hossein Esfahani, and Mohammad H.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering Setarehdan, Ameneh Ziaee, Ramin Niknam, Sahar Ghassemi, Fatemeh Mehrabi, Mohsen Hossein Esfahani, and Mohammad H

Reference 40

Resolution: verified exact; doi, observed 2026-08-07T15:09:50.149388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d3b83e55-3617-4917-87a5-e87bd7e8ab7b · outbound

This paper cites Toward expert-level medical question answering with large language models.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering Toward expert-level medical question answering with large language models

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:53.003390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f30b0660-8f20-4785-a647-a495ac51a896 · outbound

This paper cites Rationale-guided retrieval augmented generation for medical question answering, 2024.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering Rationale-guided retrieval augmented generation for medical question answering, 2024

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:49.003549Z

Source-reported events for the cited work

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Observation c4582679-5ed1-47e7-81e8-86bb77d58592 · outbound

This paper cites C asi M edicos-arg: A medical question answering dataset annotated with explanatory argumentative structures.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering C asi M edicos-arg: A medical question answering dataset annotated with explanatory argumentative structures

Reference 43

Resolution: verified exact; doi, observed 2026-08-07T15:09:49.984997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6ffce3f9-29e5-49c2-8950-dbc236fd8230 · outbound

This paper cites Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:49.142055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3c85197-6373-485c-a663-8ab4611ae56c · outbound

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Continually Self-Improving Language Models for Bariatric Surgery Question--Answering Improving health question answering with reliable and time-aware evidence retrieval

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:49.236073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11719d88-e7a2-44b7-a63d-3e51e0563a00 · outbound

This paper cites Safety challenges of AI in medicine in the era of large language models.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering Safety challenges of AI in medicine in the era of large language models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:49.314323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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This paper cites Ward, Sara N.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering Ward, Sara N

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:49.406079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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This paper cites Pandora's Box or Aladdin's Lamp: A Comprehensive Analysis Revealing the Role of RAG Noise in Large Language Models.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering Pandora's Box or Aladdin's Lamp: A Comprehensive Analysis Revealing the Role of RAG Noise in Large Language Models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:49.475831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d72f3c3a-7d75-43d2-8cbe-6d90ad4f6c9b · outbound

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Continually Self-Improving Language Models for Bariatric Surgery Question--Answering Medical Graph RAG: Towards Safe Medical Large Language Model via Graph Retrieval-Augmented Generation

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:49.570328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63ed5329-cfa7-4214-bded-be061857e439 · outbound

This paper cites Acceptability, effectiveness, and roles of mhealth applications in supporting cancer pain self-management: Integrative review.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering Acceptability, effectiveness, and roles of mhealth applications in supporting cancer pain self-management: Integrative review

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:52.844905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0dfe16a9-7e59-4759-84b3-70f686255aa5 · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering BERTScore: Evaluating Text Generation with BERT

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:49.781361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f878ac1-63d8-4e01-a26d-940e7219869d · outbound

This paper cites Hallucination mitigation for retrieval-augmented large language models: A review.

Continually Self-Improving Language Models for Bariatric Surgery Question--Answering Hallucination mitigation for retrieval-augmented large language models: A review

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:09:52.715993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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