NegotiationToM: A Benchmark for Stress-testing Machine Theory of Mind on Negotiation Surrounding
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Abstract (arXiv)
Large Language Models (LLMs) have sparked substantial interest and debate concerning their potential emergence of Theory of Mind (ToM) ability. Theory of mind evaluations currently focuses on testing models using machine-generated data or game settings prone to shortcuts and spurious correlations, which lacks evaluation of machine ToM ability in real-world human interaction scenarios. This poses a pressing demand to develop new real-world scenario benchmarks. We introduce NegotiationToM, a new benchmark designed to stress-test machine ToM in real-world negotiation surrounding covered multi-dimensional mental states (i.e., desires, beliefs, and intentions). Our benchmark builds upon the Belief-Desire-Intention (BDI) agent modeling theory and conducts the necessary empirical experiments to evaluate large language models. Our findings demonstrate that NegotiationToM is challenging for state-of-the-art LLMs, as they consistently perform significantly worse than humans, even when employing the chain-of-thought (CoT) method.
Key facts. Cited by 49 papers in the map (data through 7 Oct 2026). Builds on 38 of its 104 references that are in the map. First posted on arXiv 21 Apr 2024.
Builds on
38 of 104 references.
References · 38
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Citing papers per year: 2024: 7; 2025: 25; 2026: 17.
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- 2026PrefBench: Evaluating Zero-Shot LLM Agents in Hidden-Preference Personalized Pricing Negotiations19 May 2026
- 2026Preference Estimation via Opponent Modeling in Multi-Agent Negotiation17 Apr 2026
- 2026Beyond Words: Evaluating and Bridging Epistemic Divergence in User-Agent Interaction via Theory of Mind14 Feb 2026
- 2025LLM-Hanabi: Evaluating Multi-Agent Gameplays with Theory-of-Mind and Rationale Inference in Imperfect Information Collaboration Game6 Oct 2025
- 2025Evaluating Multi-Turn Bargain Skills in LLM-Based Seller Agent8 Sep 2025
- 2025Structuring the Unstructured: A Systematic Review of Text-to-Structure Generation for Agentic AI with a Universal Evaluation Framework17 Aug 2025
- 2025PolicyEvol-Agent: Evolving Policy via Environment Perception and Self-Awareness with Theory of Mind20 Apr 2025
- 2025Enhancing Conversational Agents with Theory of Mind: Aligning Beliefs, Desires, and Intentions for Human-Like Interaction20 Feb 2025
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- 2025Effects of Theory of Mind and Prosocial Beliefs on Steering Human-Aligned Behaviors of LLMs in Ultimatum Gamescited by 0
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- 2026Think Thrice Before You Speak: Dual knowledge-enhanced Theory-of-Mind Reasoning for Persuasive Agents21 May 2026
- 2026To Think or Not To Think, That is The Question for Large Reasoning Models in Theory of Mind Tasks11 Feb 2026
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- 2025Effects of Theory of Mind and Prosocial Beliefs on Steering Human-Aligned Behaviors of LLMs in Ultimatum Games30 May 2025
- 2025Rethinking Theory of Mind Benchmarks for LLMs: Towards A User-Centered Perspective15 Apr 2025
- 2024Constrained Reasoning Chains for Enhancing Theory-of-Mind in Large Language Models20 Sep 2024
- 2025Language Models use Lookbacks to Track Beliefscited by 36
- 2025Theory of Mind in Large Language Models: Assessment and Enhancementcited by 24
- 2024ECon: On the Detection and Resolution of Evidence Conflictscited by 18
- 2025PersuasiveToM: A Benchmark for Evaluating Machine Theory of Mind in Persuasive Dialoguescited by 16
- 2025SoMi-ToM: Evaluating Multi-Perspective Theory of Mind in Embodied Social Interactionscited by 16
- 2024EgoSocialArena: Benchmarking the Social Intelligence of Large Language Models from a First-person Perspectivecited by 10
- 2025EcomScriptBench: A Multi-task Benchmark for E-commerce Script Planning via Step-wise Intention-Driven Product Associationcited by 10
- 2025Do Large Language Models Have a Planning Theory of Mind? Evidence from MindGames: a Multi-Step Persuasion Taskcited by 9
- 2025The Essence of Contextual Understanding in Theory of Mind: A Study on Question Answering with Story Characterscited by 8
- 2025Persuasion Should be Double-Blind: A Multi-Domain Dialogue Dataset With Faithfulness Based on Causal Theory of Mindcited by 8
- 2025ToM-SSI: Evaluating Theory of Mind in Situated Social Interactionscited by 5
- 2025TactfulToM: Do LLMs Have the Theory of Mind Ability to Understand White Lies?cited by 5
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- 2026SAGE: A Quantitative Evaluation of Socialized Evolution in Agent Ecosystems2 Jun 2026
- 2026Does Theory of Mind Improvement Really Benefit Human-AI Interactions? Empirical Findings from Interactive Evaluations28 Apr 2026
- 2026CoSToM:Causal-oriented Steering for Intrinsic Theory-of-Mind Alignment in Large Language Models11 Apr 2026
- 2026Traces of Social Competence in Large Language Models4 Mar 2026
- 2026Large Language Models Persuade Without Planning Theory of Mind19 Feb 2026
- 2026CogToM: A Comprehensive Theory of Mind Benchmark inspired by Human Cognition for Large Language Models22 Jan 2026
- 2025S3IT: A Benchmark for Spatially Situated Social Intelligence Test23 Dec 2025
- 2025Spot The Ball: A Benchmark for Visual Social Inference31 Oct 2025
- 2025Circuit Distillation29 Sep 2025
- 2025TactfulToM: Do LLMs Have the Theory of Mind Ability to Understand White Lies?21 Sep 2025
- 2025ToM-SSI: Evaluating Theory of Mind in Situated Social Interactions5 Sep 2025
- 2025Do Large Language Models Have a Planning Theory of Mind? Evidence from MindGames: a Multi-Step Persuasion Task22 Jul 2025
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