Decision Protocols in Multi-Agent Large Language Model Conversations | Paper Citation Record

Observation 138dbaaa-0ebb-4b70-9fa9-50bc73337592 · outbound

This paper cites The elephant in the room: Analyzing the presence of big tech in natural language processing research,.

Decision Protocols in Multi-Agent Large Language Model Conversations The elephant in the room: Analyzing the presence of big tech in natural language processing research,

Reference 1

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This paper cites The computational difficulty of manipulating an election,.

Decision Protocols in Multi-Agent Large Language Model Conversations The computational difficulty of manipulating an election,

Reference 2

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This paper cites Multi-Agent Large Language Models for Conversational Task-Solving.

Decision Protocols in Multi-Agent Large Language Model Conversations Multi-Agent Large Language Models for Conversational Task-Solving

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This paper cites Language models are few-shot learners,.

Decision Protocols in Multi-Agent Large Language Model Conversations Language models are few-shot learners,

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This paper cites Available: https : / / proceedings.

Decision Protocols in Multi-Agent Large Language Model Conversations Available: https : / / proceedings

Reference 5

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Decision Protocols in Multi-Agent Large Language Model Conversations Unresolved cited work

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This paper cites ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs.

Decision Protocols in Multi-Agent Large Language Model Conversations ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs

Reference 7

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Decision Protocols in Multi-Agent Large Language Model Conversations G., Sampling techniques (Sampling techniques)

Reference 8

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This paper cites Social Pressure Influences Decisions of Individuals: Evidence from the Behavior of Football Referees,.

Decision Protocols in Multi-Agent Large Language Model Conversations Social Pressure Influences Decisions of Individuals: Evidence from the Behavior of Football Referees,

Reference 9

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This paper cites Improving Factuality and Reasoning in Language Models through Multiagent Debate.

Decision Protocols in Multi-Agent Large Language Model Conversations Improving Factuality and Reasoning in Language Models through Multiagent Debate

Reference 10

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This paper cites The Llama 3 Herd of Models.

Decision Protocols in Multi-Agent Large Language Model Conversations The Llama 3 Herd of Models

Reference 11

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This paper cites Did aristotle use a laptop? a question answering benchmark with implicit reasoning strategies,.

Decision Protocols in Multi-Agent Large Language Model Conversations Did aristotle use a laptop? a question answering benchmark with implicit reasoning strategies,

Reference 12

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This paper cites WORKING DOCUMENT on overcoming the deadlock of unanimity voting,.

Decision Protocols in Multi-Agent Large Language Model Conversations WORKING DOCUMENT on overcoming the deadlock of unanimity voting,

Reference 13

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This paper cites Measuring massive multitask language under- standing,.

Decision Protocols in Multi-Agent Large Language Model Conversations Measuring massive multitask language under- standing,

Reference 14

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This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Decision Protocols in Multi-Agent Large Language Model Conversations Measuring Mathematical Problem Solving With the MATH Dataset

Reference 15

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This paper cites MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework.

Decision Protocols in Multi-Agent Large Language Model Conversations MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

Reference 16

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This paper cites Large Language Models Cannot Self-Correct Reasoning Yet.

Decision Protocols in Multi-Agent Large Language Model Conversations Large Language Models Cannot Self-Correct Reasoning Yet

Reference 17

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This paper cites PersonaLLM: Investigating the ability of large language models to express personality traits,.

Decision Protocols in Multi-Agent Large Language Model Conversations PersonaLLM: Investigating the ability of large language models to express personality traits,

Reference 18

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This paper cites A comparison of consensus and voting in public decision making,.

Decision Protocols in Multi-Agent Large Language Model Conversations A comparison of consensus and voting in public decision making,

Reference 19

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Observation 25935f0f-c51b-49d7-a30c-0badbf0c0493 · outbound

This paper cites Persona is a Double-edged Sword: Mitigating the Negative Impact of Role-playing Prompts in Zero-shot Reasoning Tasks.

Decision Protocols in Multi-Agent Large Language Model Conversations Persona is a Double-edged Sword: Mitigating the Negative Impact of Role-playing Prompts in Zero-shot Reasoning Tasks

Reference 20

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This paper cites Conformity in Groups: The Effects of Others’ Views on Expressed Attitudes and Attitude Change,.

Decision Protocols in Multi-Agent Large Language Model Conversations Conformity in Groups: The Effects of Others’ Views on Expressed Attitudes and Attitude Change,

Reference 21

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This paper cites The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models.

Decision Protocols in Multi-Agent Large Language Model Conversations The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

Reference 22

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Observation 2137dcb1-f15b-4d69-8b56-cde4ad75e9d2 · outbound

This paper cites Social Choice Theory,.

Decision Protocols in Multi-Agent Large Language Model Conversations Social Choice Theory,

Reference 23

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This paper cites Available: https://plato.stanford.edu/archives/win2022/entries/ social-choice/.

Decision Protocols in Multi-Agent Large Language Model Conversations Available: https://plato.stanford.edu/archives/win2022/entries/ social-choice/

Reference 24

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This paper cites Green AI: Exploring Carbon Footprints, Mitigation Strategies, and Trade Offs in Large Language Model Training.

Decision Protocols in Multi-Agent Large Language Model Conversations Green AI: Exploring Carbon Footprints, Mitigation Strategies, and Trade Offs in Large Language Model Training

Reference 25

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Decision Protocols in Multi-Agent Large Language Model Conversations Self-refine: Iterative refinement with self-feedback,

Reference 26

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This paper cites The effects of information and social conformity on opinion change,.

Decision Protocols in Multi-Agent Large Language Model Conversations The effects of information and social conformity on opinion change,

Reference 27

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correction dated 2020-03-18. Source: crossref record 10.1371/journal.pone.0230728->10.1371/journal.pone.0196600:correction, observed 2026-07-11T03:00:22.064553+00:00. This notice travels one citation hop only.

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This paper cites The Society of Mind,.

Decision Protocols in Multi-Agent Large Language Model Conversations The Society of Mind,

Reference 28

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This paper cites A Comprehensive Overview of Large Language Models.

Decision Protocols in Multi-Agent Large Language Model Conversations A Comprehensive Overview of Large Language Models

Reference 29

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This paper cites GPT-4 Technical Report.

Decision Protocols in Multi-Agent Large Language Model Conversations GPT-4 Technical Report

Reference 30

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This paper cites Know what you don’t know: Unanswerable questions for SQuAD,.

Decision Protocols in Multi-Agent Large Language Model Conversations Know what you don’t know: Unanswerable questions for SQuAD,

Reference 31

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This paper cites Reporting score distributions makes a difference: Performance study of LSTM-networks for sequence tagging,.

Decision Protocols in Multi-Agent Large Language Model Conversations Reporting score distributions makes a difference: Performance study of LSTM-networks for sequence tagging,

Reference 32

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Decision Protocols in Multi-Agent Large Language Model Conversations Sentence-BERT: Sentence embeddings using Siamese BERT- networks,

Reference 33

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Decision Protocols in Multi-Agent Large Language Model Conversations GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 34

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This paper cites P., Zhou, Y., et al., PersonaGym: Evaluating Persona Agents and LLMs ,.

Decision Protocols in Multi-Agent Large Language Model Conversations P., Zhou, Y., et al., PersonaGym: Evaluating Persona Agents and LLMs ,

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Decision Protocols in Multi-Agent Large Language Model Conversations PersonaGym: Evaluating Persona Agents and LLMs

Reference 36

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Decision Protocols in Multi-Agent Large Language Model Conversations Towards Understanding Sycophancy in Language Models

Reference 37

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Decision Protocols in Multi-Agent Large Language Model Conversations Large language models can be easily distracted by irrelevant context,

Reference 38

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Decision Protocols in Multi-Agent Large Language Model Conversations Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 39

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Decision Protocols in Multi-Agent Large Language Model Conversations MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning

Reference 40

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Decision Protocols in Multi-Agent Large Language Model Conversations The future of ai development

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This paper cites [Online].

Decision Protocols in Multi-Agent Large Language Model Conversations [Online]

Reference 42

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Decision Protocols in Multi-Agent Large Language Model Conversations K., Sampling (Wiley series in probability and statistics), 3rd ed

Reference 43

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Decision Protocols in Multi-Agent Large Language Model Conversations Are Neural Language Models Good Plagiarists? A Benchmark for Neural Paraphrase Detection,

Reference 44

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Decision Protocols in Multi-Agent Large Language Model Conversations Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?

Reference 45

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Decision Protocols in Multi-Agent Large Language Model Conversations Self-consistency improves chain of thought reasoning in language models,

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Decision Protocols in Multi-Agent Large Language Model Conversations MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark

Reference 47

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Decision Protocols in Multi-Agent Large Language Model Conversations Unleashing the emergent cognitive syn- ergy in large language models: A task-solving agent through multi-persona self-collaboration,

Reference 48

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Decision Protocols in Multi-Agent Large Language Model Conversations Chain-of-thought prompting elicits reasoning in large language models,

Reference 49

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Decision Protocols in Multi-Agent Large Language Model Conversations System 2 thinking in OpenAI's o1-preview model: Near-perfect performance on a mathematics exam

Reference 50

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Decision Protocols in Multi-Agent Large Language Model Conversations AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 51

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Decision Protocols in Multi-Agent Large Language Model Conversations Qwen2 Technical Report

Reference 52

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Decision Protocols in Multi-Agent Large Language Model Conversations Can We Trust LLMs? Mitigate Overconfidence Bias in LLMs through Knowledge Transfer

Reference 53

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Decision Protocols in Multi-Agent Large Language Model Conversations LLM Voting: Human Choices and AI Collective Decision Making

Reference 54

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Decision Protocols in Multi-Agent Large Language Model Conversations Exchange-of-thought: Enhancing large language model capabilities through cross-model communication,

Reference 55

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Decision Protocols in Multi-Agent Large Language Model Conversations Judging llm-as-a-judge with mt-bench and chat- bot arena,

Reference 56

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This paper cites [Online].

Decision Protocols in Multi-Agent Large Language Model Conversations [Online]

Reference 57

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This paper cites https://api.openai.com/v1.

Decision Protocols in Multi-Agent Large Language Model Conversations https://api.openai.com/v1

Reference 58

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