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A growing body of work attempts to evaluate the theory of mind (ToM) abilities of humans and large language models (LLMs) using static, non-interactive question-and-answer benchmarks. However, theoretical work in the field suggests that…

Computation and Language · Computer Science 2026-02-20 Jared Moore , Rasmus Overmark , Ned Cooper , Beba Cibralic , Nick Haber , Cameron R. Jones

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

Theory of Mind (ToM) reasoning entails recognizing that other individuals possess their own intentions, emotions, and thoughts, which is vital for guiding one's own thought processes. Although large language models (LLMs) excel in tasks…

Computation and Language · Computer Science 2024-06-11 Maryam Amirizaniani , Elias Martin , Maryna Sivachenko , Afra Mashhadi , Chirag Shah

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

Large language models (LLMs) are increasingly tested for a "Theory of Mind" (ToM) - the ability to attribute mental states to oneself and others. Yet most evaluations stop at explicit belief attribution in classical toy stories or stylized…

Computation and Language · Computer Science 2026-03-03 Yuling Gu , Oyvind Tafjord , Hyunwoo Kim , Jared Moore , Ronan Le Bras , Peter Clark , Yejin Choi

As large language models (LLMs) continue to advance, there is increasing interest in their ability to infer human mental states and demonstrate a human-like Theory of Mind (ToM). Most existing ToM evaluations, however, are centered on…

Computer Vision and Pattern Recognition · Computer Science 2026-03-26 Siqi Liu , Xinyang Li , Bochao Zou , Junbao Zhuo , Huimin Ma , Jiansheng Chen

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

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

The last couple of years have witnessed emerging research that appropriates Theory-of-Mind (ToM) tasks designed for humans to benchmark LLM's ToM capabilities as an indication of LLM's social intelligence. However, this approach has a…

Human-Computer Interaction · Computer Science 2025-04-16 Qiaosi Wang , Xuhui Zhou , Maarten Sap , Jodi Forlizzi , Hong Shen

Theory of Mind (ToM), the ability to understand people's minds based on their behavior, is key to developing socially intelligent agents. Current approaches to ToM reasoning either rely on prompting Large Language Models (LLMs), which are…

Artificial Intelligence · Computer Science 2026-01-15 Zhining Zhang , Chuanyang Jin , Mung Yao Jia , Shunchi Zhang , Tianmin Shu

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

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) is the cognitive capability to perceive and ascribe mental states to oneself and others. Recent research has sparked a debate over whether large language models (LLMs) exhibit a form of ToM. However, existing ToM…

Computation and Language · Computer Science 2024-12-10 Zhuang Chen , Jincenzi Wu , Jinfeng Zhou , Bosi Wen , Guanqun Bi , Gongyao Jiang , Yaru Cao , Mengting Hu , Yunghwei Lai , Zexuan Xiong , Minlie Huang

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

Evaluating the theory of mind (ToM) capabilities of language models (LMs) has recently received a great deal of attention. However, many existing benchmarks rely on synthetic data, which risks misaligning the resulting experiments with…

Computation and Language · Computer Science 2024-06-11 Adil Soubki , John Murzaku , Arash Yousefi Jordehi , Peter Zeng , Magdalena Markowska , Seyed Abolghasem Mirroshandel , Owen Rambow

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

Recent studies have increasingly demonstrated that large language models (LLMs) possess significant theory of mind (ToM) capabilities, showing the potential for simulating the tracking of mental states in generative agents. In this study,…

Computation and Language · Computer Science 2025-01-28 Bo Yang , Jiaxian Guo , Yusuke Iwasawa , Yutaka Matsuo

Large language models (LLMs) are transforming human-computer interaction and conceptions of artificial intelligence (AI) with their impressive capacities for conversing and reasoning in natural language. There is growing interest in whether…

Human-Computer Interaction · Computer Science 2024-05-15 Winnie Street

Theory of Mind (ToM)-an understanding of the mental states of others-is a key aspect of human social intelligence, yet, chatbots and LLM-based social agents do not typically integrate it. In this work, we demonstrate that LLMs that…

Computation and Language · Computer Science 2026-04-14 EunJeong Hwang , Yuwei Yin , Giuseppe Carenini , Peter West , Vered Shwartz

Theory of Mind (ToM)-the ability to reason about the mental states of oneself and others-is a cornerstone of human social intelligence. As Large Language Models (LLMs) become ubiquitous in real-world applications, validating their capacity…

Computation and Language · Computer Science 2026-03-13 Ruirui Chen , Weifeng Jiang , Chengwei Qin , Cheston Tan