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Theory of Mind (ToM), the ability to infer mental states in others, is pivotal for human social cognition. Existing evaluations of ToM in LLMs are largely limited to English, neglecting the linguistic diversity that shapes human cognition.…

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) 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), 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)-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

In recent years, evaluating the Theory of Mind (ToM) capabilities of large language models (LLMs) has received significant attention within the research community. As the field rapidly evolves, navigating the diverse approaches and…

Computation and Language · Computer Science 2025-02-14 Karahan Sarıtaş , Kıvanç Tezören , Yavuz Durmazkeser

Can large multimodal models have a human-like ability for emotional and social reasoning, and if so, how does it work? Recent research has discovered emergent theory-of-mind (ToM) reasoning capabilities in large language models (LLMs). LLMs…

Computer Vision and Pattern Recognition · Computer Science 2025-09-16 Zhawnen Chen , Tianchun Wang , Yizhou Wang , Michal Kosinski , Xiang Zhang , Yun Fu , Sheng Li

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)-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), 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) refers to the ability to reason about others' mental states, and higher-order ToM involves considering that others also possess their own ToM. Equipping large language model (LLM)-driven agents with ToM has long been…

Artificial Intelligence · Computer Science 2026-03-18 Chunjiang Mu , Ya Zeng , Qiaosheng Zhang , Kun Shao , Chen Chu , Hao Guo , Danyang Jia , Zhen Wang , Shuyue Hu

Theory of Mind (ToM), the capacity to comprehend the mental states of distinct individuals, is essential for numerous practical applications. With the development of large language models (LLMs), there is a heated debate about whether they…

Computation and Language · Computer Science 2024-10-29 Xiaomeng Ma , Lingyu Gao , Qihui Xu

We present a new explainable AI (XAI) framework aimed at increasing justified human trust and reliance in the AI machine through explanations. We pose explanation as an iterative communication process, i.e. dialog, between the machine and…

Artificial Intelligence · Computer Science 2019-09-17 Arjun R. Akula , Changsong Liu , Sari Saba-Sadiya , Hongjing Lu , Sinisa Todorovic , Joyce Y. Chai , Song-Chun Zhu

Theory-of-Mind (ToM) tasks pose a unique challenge for large language models (LLMs), which often lack the capability for dynamic logical reasoning. In this work, we propose DEL-ToM, a framework that improves verifiable ToM reasoning through…

Artificial Intelligence · Computer Science 2025-09-30 Yuheng Wu , Jianwen Xie , Denghui Zhang , Zhaozhuo Xu

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

With the success of ChatGPT and other similarly sized SotA LLMs, claims of emergent human like social reasoning capabilities, especially Theory of Mind (ToM), in these models have appeared in the scientific literature. On the one hand those…

Computation and Language · Computer Science 2024-10-10 Christian Nickel , Laura Schrewe , Lucie Flek

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

Large Language Models (LLMs) have generated considerable interest and debate regarding their potential emergence of Theory of Mind (ToM). Several recent inquiries reveal a lack of robust ToM in these models and pose a pressing demand to…

Computation and Language · Computer Science 2024-12-30 Ziqiao Ma , Jacob Sansom , Run Peng , Joyce Chai

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

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