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Related papers: Rethinking Theory of Mind Benchmarks for LLMs: Tow…

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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

Do Large Language Models (LLMs) possess a Theory of Mind (ToM)? Research into this question has focused on evaluating LLMs against benchmarks and found success across a range of social tasks. However, these evaluations do not test for the…

Artificial Intelligence · Computer Science 2026-02-27 John Muchovej , Amanda Royka , Shane Lee , Julian Jara-Ettinger

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

Theory of Mind (ToM), the ability to understand the mental states of oneself and others, remains a challenging area for large language models (LLMs), which often fail to predict human mental states accurately. In this paper, we introduce…

Computation and Language · Computer Science 2025-06-12 Prameshwar Thiyagarajan , Vaishnavi Parimi , Shamant Sai , Soumil Garg , Zhangir Meirbek , Nitin Yarlagadda , Kevin Zhu , Chris Kim

Theory of Mind (ToM) refers to the cognitive ability to infer and attribute mental states to oneself and others. As large language models (LLMs) are increasingly evaluated for social and cognitive capabilities, it remains unclear to what…

Computation and Language · Computer Science 2024-11-26 Jayanta Sadhu , Ayan Antik Khan , Noshin Nawal , Sanju Basak , Abhik Bhattacharjee , Rifat Shahriyar

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) 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

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

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

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

Most existing Theory of Mind (ToM) benchmarks for foundation models rely on variations of the Sally-Anne test, offering only a very limited perspective on ToM and neglecting the complexity of human social interactions. To address this gap,…

Computation and Language · Computer Science 2025-09-17 Matteo Bortoletto , Constantin Ruhdorfer , Andreas Bulling

Humans continuously infer the states, goals, and behaviors of others by perceiving their surroundings in dynamic, real-world social interactions. However, most Theory of Mind (ToM) benchmarks only evaluate static, text-based scenarios,…

Computation and Language · Computer Science 2025-12-16 Xianzhe Fan , Xuhui Zhou , Chuanyang Jin , Kolby Nottingham , Hao Zhu , Maarten Sap

Large Language models are revolutionizing the conversational recommender systems through their impressive capabilities in instruction comprehension, reasoning, and human interaction. A core factor underlying effective recommendation…

Artificial Intelligence · Computer Science 2025-12-01 Mengfan Li , Xuanhua Shi , Yang Deng

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.…

The rapid evolution of large language models (LLMs) and their capacity to simulate human cognition and behavior has given rise to LLM-based frameworks and tools that are evaluated and applied based on their ability to perform tasks…

Computation and Language · Computer Science 2024-12-03 Jing Yi Wang , Nicholas Sukiennik , Tong Li , Weikang Su , Qianyue Hao , Jingbo Xu , Zihan Huang , Fengli Xu , Yong Li

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

Whether Large Language Models (LLMs) truly possess human-like Theory of Mind (ToM) capabilities has garnered increasing attention. However, existing benchmarks remain largely restricted to narrow paradigms like false belief tasks, failing…

Artificial Intelligence · Computer Science 2026-01-23 Haibo Tong , Zeyang Yue , Feifei Zhao , Erliang Lin , Lu Jia , Ruolin Chen , Yinqian Sun , Qian Zhang , Yi Zeng

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) refers to the ability of individuals to attribute mental states to others. While Large Language Models (LLMs) have shown some promise with ToM ability, they still struggle with complex ToM reasoning. Our approach…

Computation and Language · Computer Science 2024-06-27 Weizhi Tang , Vaishak Belle

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