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Do large language models (LLMs) have theory of mind? A plethora of papers and benchmarks have been introduced to evaluate if current models have been able to develop this key ability of social intelligence. However, all rely on limited…

Machine Learning · Computer Science 2024-12-18 Melanie Sclar , Jane Yu , Maryam Fazel-Zarandi , Yulia Tsvetkov , Yonatan Bisk , Yejin Choi , Asli Celikyilmaz

Large Language Models (LLMs) have developed rapidly and are widely applied to both general-purpose and professional tasks to assist human users. However, they still struggle to comprehend and respond to the true user needs when intentions…

Computation and Language · Computer Science 2026-02-17 Minyuan Ruan , Ziyue Wang , Kaiming Liu , Yunghwei Lai , Peng Li , Yang Liu

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…

Computation and Language · Computer Science 2023-10-26 Yinghui He , Yufan Wu , Yilin Jia , Rada Mihalcea , Yulong Chen , Naihao Deng

Theory of Mind (ToM), the ability to infer others' knowledge, intentions, and emotions, is commonly evaluated in large language models (LLMs) using end-point question answering, where performance is judged solely by the final answer to a…

Artificial Intelligence · Computer Science 2026-05-27 Adam Bawatneh , Sagar Sapkota , Amrit Singh Bedi , Santu Karmaker , Mubarak Shah

Theory of Mind (ToM), the ability to attribute mental states to others, is a hallmark of social intelligence. While large language models (LLMs) demonstrate promising performance on standard ToM benchmarks, we observe that they often fail…

Computation and Language · Computer Science 2026-04-14 Mengfan Li , Xuanhua Shi , Yang Deng

Theory of mind (ToM) evaluations currently focus on testing models using passive narratives that inherently lack interactivity. We introduce FANToM, a new benchmark designed to stress-test ToM within information-asymmetric conversational…

Computation and Language · Computer Science 2023-11-01 Hyunwoo Kim , Melanie Sclar , Xuhui Zhou , Ronan Le Bras , Gunhee Kim , Yejin Choi , Maarten Sap

While humans naturally develop theory of mind (ToM), the capability to understand other people's mental states and beliefs, state-of-the-art large language models (LLMs) underperform on simple ToM benchmarks. We posit that we can extend our…

Computation and Language · Computer Science 2024-11-08 Chani Jung , Dongkwan Kim , Jiho Jin , Jiseon Kim , Yeon Seonwoo , Yejin Choi , Alice Oh , Hyunwoo Kim

Neural Theory-of-Mind (N-ToM), machine's ability to understand and keep track of the mental states of others, is pivotal in developing socially intelligent agents. However, prevalent N-ToM benchmarks have several shortcomings, including the…

Artificial Intelligence · Computer Science 2024-06-04 Hainiu Xu , Runcong Zhao , Lixing Zhu , Jinhua Du , Yulan He

Human interactions are deeply rooted in the interplay of thoughts, beliefs, and desires made possible by Theory of Mind (ToM): our cognitive ability to understand the mental states of ourselves and others. Although ToM may come naturally to…

Artificial Intelligence · Computer Science 2023-11-20 Alex Wilf , Sihyun Shawn Lee , Paul Pu Liang , Louis-Philippe Morency

Theory of Mind (ToM) is central to social cognition and human-AI interaction, and Large Language Models (LLMs) have been used to help understand and represent ToM. However, most evaluations treat ToM as a static judgment at a single moment,…

Artificial Intelligence · Computer Science 2026-03-17 Thuy Ngoc Nguyen , Duy Nhat Phan , Cleotilde Gonzalez

Recent evidence suggests Large Language Models (LLMs) display Theory of Mind (ToM) abilities. Most ToM experiments place participants in a spectatorial role, wherein they predict and interpret other agents' behavior. However, human ToM also…

Computation and Language · Computer Science 2025-07-23 Jared Moore , Ned Cooper , Rasmus Overmark , Beba Cibralic , Nick Haber , Cameron R. Jones

Theory of Mind (ToM), the ability to attribute mental states to others, is fundamental for human social intelligence and a critical capability for advanced Artificial Intelligence. Recent advancements in Large Language Models (LLMs) have…

Computation and Language · Computer Science 2025-05-19 Yi-Long Lu , Chunhui Zhang , Jiajun Song , Lifeng Fan , Wei Wang

Theory of Mind (ToM) is the ability to understand and reflect on the mental states of others. Although this capability is crucial for human interaction, testing on Large Language Models (LLMs) reveals that they possess only a rudimentary…

Computation and Language · Computer Science 2025-01-17 Sneheel Sarangi , Maha Elgarf , Hanan Salam

As Large Language Models (LLMs) become increasingly integrated into our everyday lives, understanding their ability to comprehend human mental states becomes critical for ensuring effective interactions. However, despite the recent attempts…

Computation and Language · Computer Science 2023-12-06 Kanishk Gandhi , Jan-Philipp Fränken , Tobias Gerstenberg , Noah D. Goodman

Theory-of-Mind (ToM), the ability to infer others' perceptions and mental states, is fundamental to human interaction but remains challenging for Large Language Models (LLMs). While existing ToM reasoning methods show promise with reasoning…

Computation and Language · Computer Science 2025-06-03 Hainiu Xu , Siya Qi , Jiazheng Li , Yuxiang Zhou , Jinhua Du , Caroline Catmur , Yulan He

To what degree should we ascribe cognitive capacities to Large Language Models (LLMs), such as the ability to reason about intentions and beliefs known as Theory of Mind (ToM)? Here we add to this emerging debate by (i) testing 11 base- and…

Computation and Language · Computer Science 2023-11-01 Max J. van Duijn , Bram M. A. van Dijk , Tom Kouwenhoven , Werner de Valk , Marco R. Spruit , Peter van der Putten

Monitoring autonomous large language model (LLM) agents for covert malicious behavior is challenging due to delayed, context-dependent, and long-horizon attack patterns. Agents may pursue hidden objectives while maintaining superficially…

Machine Learning · Computer Science 2026-05-26 Nesreen K. Ahmed , Nima Nafisi

Theory of Mind (ToM)-the cognitive ability to reason about mental states of ourselves and others, is the foundation of social interaction. Although ToM comes naturally to humans, it poses a significant challenge to even the most advanced…

Computation and Language · Computer Science 2024-07-02 Guiyang Hou , Wenqi Zhang , Yongliang Shen , Linjuan Wu , Weiming Lu

Theory of Mind (ToM) assesses whether models can infer hidden mental states such as beliefs, desires, and intentions, which is essential for natural social interaction. Although recent progress in Large Reasoning Models (LRMs) has boosted…

Artificial Intelligence · Computer Science 2026-03-05 Nanxu Gong , Haotian Li , Sixun Dong , Jianxun Lian , Yanjie Fu , Xing Xie

Theory of Mind (ToM) refers to an agent's ability to model the internal states of others. Contributing to the debate whether large language models (LLMs) exhibit genuine ToM capabilities, our study investigates their ToM robustness using…

Computation and Language · Computer Science 2026-02-26 Christian Nickel , Laura Schrewe , Florian Mai , Lucie Flek
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