EMNLP Findings2023
Hi-ToM: A Benchmark for Evaluating Higher-Order Theory of Mind Reasoning in Large Language Models
Yufan Wu, Yinghui He, Yilin Jia, Rada Mihalcea, Yulong Chen, Naihao Deng
Abstract
Theory of Mind (ToM) is the ability to reason about one's own and others' mental states. ToM plays a critical role in the development of intelligence, language understanding, and cognitive processes. While previous work has primarily focused on first and second-order ToM, we explore higher-order ToM, which involves recursive reasoning on others' beliefs. We introduce HI-TOM, a Higher Order Theory of Mind benchmark. Our experimental evaluation using various Large Language Models (LLMs) indicates a decline in performance on higherorder ToM tasks, demonstrating the limitations of current LLMs. We conduct a thorough analysis of different failure cases of LLMs, and share our thoughts on the implications of our findings on the future of NLP.
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Cited by top-tier papers28
- MuMA-ToM: Multi-modal Multi-Agent Theory of MindHaojun Shi, Suyu Ye, Xinyu Fang, Chuanyang Jin et al.AAAI 2025 · 48 citations
- Language Models Use Lookbacks to Track BeliefsNikhil Prakash, Natalie Shapira, Arnab Sen Sharma, Christoph Riedl et al.ICLR 2026 · 42 citations
- SimpleToM: Exposing the Gap between Explicit ToM Inference and Implicit ToM Application in LLMsYuling Gu, Oyvind Tafjord, Hyunwoo Kim, Jared Moore et al.ICLR 2026 · 39 citations
- SPRIG: Improving Large Language Model Performance by System Prompt OptimizationLechen Zhang, Tolga Ergen, Lajanugen Logeswaran, Moontae Lee et al.ICLR 2026 · 35 citations
- AutoToM: Scaling Model-based Mental Inference via Automated Agent ModelingZhining Zhang, Chuanyang Jin, Mung Yao Jia, Shunchi Zhang et al.NeurIPS 2025 · 30 citations
Builds on9
- Chain-of-Thought Prompting Elicits Reasoning in Large Language ModelsJason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma et al.NeurIPS 2022 · 22,562 citations
- QLoRA: Efficient Finetuning of Quantized LLMsTim Dettmers, Artidoro Pagnoni, Ari Holtzman, Luke ZettlemoyerNeurIPS 2023 · 5,863 citations
- Generative Agents: Interactive Simulacra of Human BehaviorJoon Sung Park, Joseph C. O'Brien, Carrie Jun Cai, Meredith Ringel Morris et al.UIST 2023 · 1,882 citations
- Can Large Language Models Infer Causation from Correlation?Zhijing Jin, Jiarui Liu, Zhiheng Lyu, Spencer Poff et al.ICLR 2024 · 186 citations
- Sources of Hallucination by Large Language Models on Inference TasksNick McKenna, Tianyi Li, Liang Cheng, Mohammad Javad Hosseini et al.EMNLP Findings 2023 · 142 citations
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- Adaptive Theory of Mind for LLM-based Multi-Agent CoordinationChunjiang Mu, Ya Zeng, Qiaosheng Zhang, Kun Shao et al.AAAI 2026
- TimeToM: Temporal Space is the Key to Unlocking the Door of Large Language Models' Theory-of-MindGuiyang Hou, Wenqi Zhang, Yongliang Shen, Linjuan Wu et al.ACL Findings 2024 · 6 citations
- ToMBench: Benchmarking Theory of Mind in Large Language ModelsZhuang Chen, Jincenzi Wu, Jinfeng Zhou, Bosi Wen et al.ACL 2024 · 6 citations
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