Paper Citation Record · LEDGER

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks

As of 15 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 1 inbound Pith citation observation for arXiv:2411.17204.

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

pith.paper-citation-record.v1
2411.17204 v2

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:28:14.506524Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:34:32.668620Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

59 of 59 outbound references displayed

verified exact4
verified fuzzy17
unresolved35
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

0
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

Observation 00179a54-83fd-48a2-adad-5a5c72346c75 · outbound

This paper cites write newline.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T12:28:14.255962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b4cae20-d98e-4a60-87a0-8d98793f7990 · outbound

This paper cites write newline.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T12:28:14.260831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc7a962d-bb78-447a-9fc9-4a979c470ac7 · outbound

This paper cites Can we trust the evaluation on ChatGPT?.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks Can we trust the evaluation on ChatGPT?

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T12:28:14.265774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af9fce03-b806-4536-9578-5fe6bbcaf5a9 · outbound

This paper cites , & author Lavie, A.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks , & author Lavie, A

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:28:15.691704Z

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 9e639df4-141a-47ee-b7b6-6dcc47ca9ebc · outbound

This paper cites , author Mann, B.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks , author Mann, B

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:28:15.676227Z

Source-reported events for the cited work

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Observation f745298e-738c-408f-9e2e-c6744e1eee48 · outbound

This paper cites , author Cirillo, S.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks , author Cirillo, S

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T12:28:14.278861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19e50941-1664-49c5-a3c9-ee0f393b178a · outbound

This paper cites A Survey on Evaluation of Large Language Models.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks A Survey on Evaluation of Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T12:28:14.282918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26088a22-c53a-4daf-a3d4-a1a2065277fe · outbound

This paper cites , author Liu, S.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks , author Liu, S

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:28:15.661652Z

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 e812911a-971b-4812-9e9a-f567be872a00 · outbound

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

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T12:28:14.291476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a30a6a79-3b3c-42d8-857e-d8b3b1b551e9 · outbound

This paper cites , author Courville, A.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks , author Courville, A

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:28:15.648635Z

Source-reported events for the cited work

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Observation ffbaf8a4-e01f-4d91-a252-55d161908d55 · outbound

This paper cites , author Pineau, J.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks , author Pineau, J

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:28:15.636673Z

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 730bb394-0c43-402c-83d6-e2daef262e23 · outbound

This paper cites , author Chen, K.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks , author Chen, K

Reference 12

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Source-reported events for the cited work

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Observation e541d0f6-638e-4960-877a-b54f316d1044 · outbound

This paper cites , author Subramanian, K.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks , author Subramanian, K

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:28:15.623147Z

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 6529a60d-8930-4b2b-b560-e66e2b97763b · outbound

This paper cites Decoupling Strategy and Generation in Negotiation Dialogues.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks Decoupling Strategy and Generation in Negotiation Dialogues

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T12:28:14.314818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 211fcd95-ad95-4953-a3c5-27a25484776d · outbound

This paper cites Is ChatGPT better than Human Annotators? Potential and Limitations of ChatGPT in Explaining Implicit Hate Speech.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks Is ChatGPT better than Human Annotators? Potential and Limitations of ChatGPT in Explaining Implicit Hate Speech

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89543314-69cb-442c-9dfb-12e0d0d92f0e · outbound

This paper cites Exploring the Benefits of Training Expert Language Models over Instruction Tuning.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks Exploring the Benefits of Training Expert Language Models over Instruction Tuning

Reference 16

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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 f21824bd-995e-4490-afe9-20b95eeff4ea · outbound

This paper cites an unresolved cited work.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:28:15.609427Z

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 908009aa-96c9-4305-ac80-d43f4f734a09 · outbound

This paper cites FLM-101B: An Open LLM and How to Train It with $100K Budget.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks FLM-101B: An Open LLM and How to Train It with $100K Budget

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T12:28:14.333137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4b60683-06f7-44b2-9629-5734beb4a3c3 · outbound

This paper cites Holistic Evaluation of Language Models.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks Holistic Evaluation of Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T12:28:14.337637Z

Source-reported events for the cited work

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Observation 06e13384-3ebe-4503-90f0-1fd55fafb2fb · outbound

This paper cites , author Sharir, O.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks , author Sharir, O

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:28:15.592836Z

Source-reported events for the cited work

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Observation 7fed3f83-a174-4bed-9481-4cb7bfbe194d · outbound

This paper cites LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T12:28:14.345801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aeee4a21-b652-480b-84f4-7b83850abae1 · outbound

This paper cites Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6bcb970-0be4-42ba-883d-603785bb4f65 · outbound

This paper cites , author Xie, Q.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks , author Xie, Q

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T12:28:14.354068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8035fe1a-3be6-4d62-a770-8d734a9c4d87 · outbound

This paper cites , author Priya, P.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks , author Priya, P

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:28:15.577358Z

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Observation 7d6cebc2-2175-4c90-955b-8e99eb59f17e · outbound

This paper cites , & author Varol, O.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks , & author Varol, O

Reference 25

Resolution: metadata mismatch; raw_fallback, observed 2026-08-12T12:28:14.993740Z

Source-reported events for the cited work

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Observation f78ba869-6bab-4d8e-b206-6afc3e5341b6 · outbound

This paper cites title The chatgpt cheat sheet.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks title The chatgpt cheat sheet

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:28:15.564281Z

Source-reported events for the cited work

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Observation 282e8db9-8192-409a-ba0c-f7c8ebf83031 · outbound

This paper cites CodeGen2: Lessons for Training LLMs on Programming and Natural Languages.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks CodeGen2: Lessons for Training LLMs on Programming and Natural Languages

Reference 27

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Source-reported events for the cited work

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Observation 30cae4fa-4bb2-4b5e-a865-9dc6d2d89106 · outbound

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Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:28:15.551300Z

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 54b6264e-96a3-44b1-b6b9-1c6e523d849b · outbound

This paper cites Large language models in medicine: the potentials and pitfalls.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks Large language models in medicine: the potentials and pitfalls

Reference 29

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Observation c65fc5c7-3a78-4496-aece-adece54c5727 · outbound

This paper cites , author Wu, J.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks , author Wu, J

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:28:15.539920Z

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Observation 4c4779c2-8b3f-4d8d-b30c-d6a48d2717f2 · outbound

This paper cites , author Roukos, S.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks , author Roukos, S

Reference 31

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Observation 158dafb8-21d7-417c-bd36-b96d6a7e0522 · outbound

This paper cites , author Casino, F.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks , author Casino, F

Reference 32

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Source-reported events for the cited work

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Observation eba44234-1526-4b48-aa38-c0b1fdfe349a · outbound

This paper cites Instruction Tuning with GPT-4.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks Instruction Tuning with GPT-4

Reference 33

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Source-reported events for the cited work

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Observation 43bce23f-042d-4da9-a2c6-840ddb10ddef · outbound

This paper cites ChatGPT vs Human-authored Text: Insights into Controllable Text Summarization and Sentence Style Transfer.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks ChatGPT vs Human-authored Text: Insights into Controllable Text Summarization and Sentence Style Transfer

Reference 34

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Observation de620ee7-e2c5-4c1a-a1ae-5a4bc8476264 · outbound

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Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks Unresolved cited work

Reference 35

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Observation 16dfbc5d-0c52-4ca2-a077-66e34792b4e1 · outbound

This paper cites , author Shazeer, N.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks , author Shazeer, N

Reference 36

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Observation d11273d3-bff9-4bd7-aebf-2d8a8c113c08 · outbound

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Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks , author Smith, E

Reference 37

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Observation 559de716-2df9-47ec-8f38-fece117c10cc · outbound

This paper cites A Survey of Hallucination in Large Foundation Models.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks A Survey of Hallucination in Large Foundation Models

Reference 38

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Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks Leveraging Large Language Models for Multiple Choice Question Answering

Reference 39

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This paper cites , & author Lintean, M.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks , & author Lintean, M

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:28:15.483109Z

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Observation e41132e8-dcbe-4a31-ac28-4be560ebe2b5 · outbound

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Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks Unresolved cited work

Reference 41

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Observation a5cf908a-2bd8-43d2-880d-01a3d6ea2a28 · outbound

This paper cites Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization

Reference 42

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Observation 5b28892b-6bdb-4262-b1e5-413277045a14 · outbound

This paper cites Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Reference 43

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Observation 9c887bcd-82db-4c19-9e08-57f917a1b512 · outbound

This paper cites , author Mathewson, K.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks , author Mathewson, K

Reference 44

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Observation fafbc59c-5b09-497c-90c5-f04ea3af832b · outbound

This paper cites Not All Metrics Are Guilty: Improving NLG Evaluation by Diversifying References.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks Not All Metrics Are Guilty: Improving NLG Evaluation by Diversifying References

Reference 45

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Observation 287fb59f-abba-4b08-9fa8-fd598247e9bd · outbound

This paper cites , author Gulrajani, I.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks , author Gulrajani, I

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:28:15.442983Z

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Observation 2a6212a9-9fb6-4c18-a200-432278941f0e · outbound

This paper cites an unresolved cited work.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:28:15.430644Z

Source-reported events for the cited work

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Observation b40133f8-b26c-4588-9027-3d5c5e60f3b0 · outbound

This paper cites , & author Adhikari, S.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks , & author Adhikari, S

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:28:15.417487Z

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Observation e30bc181-0356-4361-a1b2-ad455a93d337 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks LLaMA: Open and Efficient Foundation Language Models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-12T12:28:14.459641Z

Source-reported events for the cited work

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Observation c08f30d9-e5c2-4510-8a86-70372fa894ed · outbound

This paper cites Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social Good.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social Good

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-12T12:28:14.464162Z

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Observation 44ce1a1e-0506-4b49-a729-18f455b3244e · outbound

This paper cites Translating Natural Language to Planning Goals with Large-Language Models.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks Translating Natural Language to Planning Goals with Large-Language Models

Reference 51

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This paper cites , author Rastogi, A.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks , author Rastogi, A

Reference 52

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Observation 86bc8421-9944-4c18-ae24-cd1f34342127 · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks OPT: Open Pre-trained Transformer Language Models

Reference 53

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Observation 86bf579c-afb7-4fc4-96c0-a2d520a6f03a · outbound

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Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks BERTScore: Evaluating Text Generation with BERT

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-12T12:28:14.483353Z

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Observation 6c2adb90-6bd0-43f0-bd60-b6009aa02573 · outbound

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Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks Sentiment Analysis in the Era of Large Language Models: A Reality Check

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-12T12:28:14.487578Z

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Observation b0630ae1-7a69-41d3-bf94-f602f7489705 · outbound

This paper cites Refashioning Emotion Recognition Modelling: The Advent of Generalised Large Models.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks Refashioning Emotion Recognition Modelling: The Advent of Generalised Large Models

Reference 56

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Observation 00e0b6a1-4519-4dbc-9ba4-66bb3c1aef7f · outbound

This paper cites Is ChatGPT Equipped with Emotional Dialogue Capabilities?.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks Is ChatGPT Equipped with Emotional Dialogue Capabilities?

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-12T12:28:14.497484Z

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Observation c87b52d0-889c-433d-9c00-bdf335246fd0 · outbound

This paper cites A Survey of Large Language Models.

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks A Survey of Large Language Models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-12T12:28:14.502346Z

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Observation 824bd987-2ed3-48ff-a084-de5be425ee5e · outbound

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Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:28:15.392225Z

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Pith citing papers

Observation a21122c0-39d2-4634-9367-1e21e585558d · inbound

RePaCA: Leveraging Reasoning Large Language Models for Static Automated Patch Correctness Assessment cites this paper.

RePaCA: Leveraging Reasoning Large Language Models for Static Automated Patch Correctness Assessment Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-06T11:34:34.291422Z

Source-reported events for the cited work

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