Social Reasoning in Machines: Investigating Collective Truth-Seeking Dynamics in Large Language Model Debate

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Pecher, Tom
Format:	Preprint
Published:	2026
Subjects:	Multiagent Systems Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debate
by: Amayuelas, Alfonso, et al.
Published: (2024)

From Debate to Deliberation: Structured Collective Reasoning with Typed Epistemic Acts
by: Prakash, Sunil
Published: (2026)

Social Dynamics as Critical Vulnerabilities that Undermine Objective Decision-Making in LLM Collectives
by: Ko, Changgeon, et al.
Published: (2026)

SCALE: Towards Collaborative Content Analysis in Social Science with Large Language Model Agents and Human Intervention
by: Zhao, Chengshuai, et al.
Published: (2025)

DataSage: Multi-agent Collaboration for Insight Discovery with External Knowledge Retrieval, Multi-role Debating, and Multi-path Reasoning
by: Liu, Xiaochuan, et al.
Published: (2025)

Systematic Failures in Collective Reasoning under Distributed Information in Multi-Agent LLMs
by: Li, Yuxuan, et al.
Published: (2025)

Investigating the Potential of Large Language Model-Based Router Multi-Agent Architectures for Foundation Design Automation: A Task Classification and Expert Selection Study
by: Youwai, Sompote, et al.
Published: (2025)

A Picture Is Worth a Graph: A Blueprint Debate Paradigm for Multimodal Reasoning
by: Zheng, Changmeng, et al.
Published: (2024)

Modeling Layered Consciousness with Multi-Agent Large Language Models
by: Kim, Sang Hun, et al.
Published: (2025)

Building and Measuring Trust between Large Language Models
by: Buyl, Maarten, et al.
Published: (2025)

Voting or Consensus? Decision-Making in Multi-Agent Debate
by: Kaesberg, Lars Benedikt, et al.
Published: (2025)

Lying with Truths: Open-Channel Multi-Agent Collusion for Belief Manipulation via Generative Montage
by: Hu, Jinwei, et al.
Published: (2026)

AFSPP: Agent Framework for Shaping Preference and Personality with Large Language Models
by: He, Zihong, et al.
Published: (2024)

Collab-Overcooked: Benchmarking and Evaluating Large Language Models as Collaborative Agents
by: Sun, Haochen, et al.
Published: (2025)

CulturePark: Boosting Cross-cultural Understanding in Large Language Models
by: Li, Cheng, et al.
Published: (2024)

Leveraging Unstructured Text Data for Federated Instruction Tuning of Large Language Models
by: Ye, Rui, et al.
Published: (2024)

DebUnc: Improving Large Language Model Agent Communication With Uncertainty Metrics
by: Yoffe, Luke, et al.
Published: (2024)

Large Language Model based Multi-Agents: A Survey of Progress and Challenges
by: Guo, Taicheng, et al.
Published: (2024)

Credibility Governance: A Social Mechanism for Collective Self-Correction under Weak Truth Signals
by: He, Wanying, et al.
Published: (2026)

Talk Isn't Always Cheap: Understanding Failure Modes in Multi-Agent Debate
by: Wynn, Andrea, et al.
Published: (2025)

iMAD: Intelligent Multi-Agent Debate for Efficient and Accurate LLM Inference
by: Fan, Wei, et al.
Published: (2025)

Iteration of Thought: Leveraging Inner Dialogue for Autonomous Large Language Model Reasoning
by: Radha, Santosh Kumar, et al.
Published: (2024)

Dipper: Diversity in Prompts for Producing Large Language Model Ensembles in Reasoning tasks
by: Lau, Gregory Kang Ruey, et al.
Published: (2024)

SMoA: Improving Multi-agent Large Language Models with Sparse Mixture-of-Agents
by: Li, Dawei, et al.
Published: (2024)

Language Modeling by Language Models
by: Cheng, Junyan, et al.
Published: (2025)

CANTANTE: Optimizing Agentic Systems via Contrastive Credit Attribution
by: Zehle, Tom
Published: (2026)

Towards Ethical Multi-Agent Systems of Large Language Models: A Mechanistic Interpretability Perspective
by: Lee, Jae Hee, et al.
Published: (2025)

Agent-Centric Projection of Prompting Techniques and Implications for Synthetic Training Data for Large Language Models
by: Dhamani, Dhruv, et al.
Published: (2025)

Why Solving Multi-agent Path Finding with Large Language Model has not Succeeded Yet
by: Chen, Weizhe, et al.
Published: (2024)

Courtroom-Style Multi-Agent Debate with Progressive RAG and Role-Switching for Controversial Claim Verification
by: Chowdhury, Masnun Nuha, et al.
Published: (2026)

Finding Common Ground: Using Large Language Models to Detect Agreement in Multi-Agent Decision Conferences
by: Heller, Selina, et al.
Published: (2025)

GraphTeam: Facilitating Large Language Model-based Graph Analysis via Multi-Agent Collaboration
by: Li, Xin, et al.
Published: (2024)

Layered Chain-of-Thought Prompting for Multi-Agent LLM Systems: A Comprehensive Approach to Explainable Large Language Models
by: Sanwal, Manish
Published: (2025)

Enhancing Multi-Agent Consensus through Third-Party LLM Integration: Analyzing Uncertainty and Mitigating Hallucinations in Large Language Models
by: Duan, Zhihua, et al.
Published: (2024)

Trust, Lies, and Long Memories: Emergent Social Dynamics and Reputation in Multi-Round Avalon with LLM Agents
by: Ellawela, Suveen
Published: (2026)

CompeteAI: Understanding the Competition Dynamics in Large Language Model-based Agents
by: Zhao, Qinlin, et al.
Published: (2023)

Enhancing Collective Intelligence in Large Language Models Through Emotional Integration
by: Kadiyala, Likith, et al.
Published: (2025)

ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical Reasoning
by: Sun, Yu, et al.
Published: (2025)

Multi-Agent Language Models: Advancing Cooperation, Coordination, and Adaptation
by: Sudhakar, Arjun Vaithilingam
Published: (2025)

TwoStep: Multi-agent Task Planning using Classical Planners and Large Language Models
by: Bai, David, et al.
Published: (2024)