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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 increasingly integrated into daily life, understanding their…

Computation and Language · Computer Science 2025-08-26 Ruirui Chen , Weifeng Jiang , Chengwei Qin , Cheston Tan

New developments are enabling AI systems to perceive, recognize, and respond with social cues based on inferences made from humans' explicit or implicit behavioral and verbal cues. These AI systems, equipped with an equivalent of human's…

Human-Computer Interaction · Computer Science 2024-05-28 Qiaosi Wang , Ashok K. Goel

As large language models (LLMs) become the engine behind conversational systems, their ability to reason about the intentions and states of their dialogue partners (i.e., form and use a theory-of-mind, or ToM) becomes increasingly critical…

Computation and Language · Computer Science 2026-04-14 Hanqi Xiao , Vaidehi Patil , Zaid Khan , Hyunji Lee , Elias Stengel-Eskin , Mohit Bansal

Large language models (LLMs) have shown success in handling simple games with imperfect information and enabling multi-agent coordination, but their ability to facilitate practical collaboration against other agents in complex, imperfect…

Computation and Language · Computer Science 2024-08-06 Yauwai Yim , Chunkit Chan , Tianyu Shi , Zheye Deng , Wei Fan , Tianshi Zheng , Yangqiu Song

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) 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

In complex environments, where the human sensory system reaches its limits, our behaviour is strongly driven by our beliefs about the state of the world around us. Accessing others' beliefs, intentions, or mental states in general, could…

Robotics · Computer Science 2022-10-19 Francesca Bianco , Dimitri Ognibene

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), 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

Theory of Mind (ToM) refers to the ability to infer others' mental states, such as beliefs, desires, and intentions. Current vision-language embodied agents lack ToM-based decision-making, and existing benchmarks focus solely on human…

Artificial Intelligence · Computer Science 2026-02-25 Ruoxuan Zhang , Qiyun Zheng , Zhiyu Zhou , Ziqi Liao , Siyu Wu , Jian-Yu Jiang-Lin , Bin Wen , Hongxia Xie , Jianlong Fu , Wen-Huang Cheng

Theory of Mind (ToM), the ability to track others epistemic state, makes humans efficient collaborators. AI agents need the same capacity in multi agent settings, yet existing benchmarks mostly test literal ToM by asking direct belief…

Artificial Intelligence · Computer Science 2026-05-19 Gurusha Juneja , Dylan Lu , Saaket Agashe , Parth Diwane , Edward Gunn , Jayanth Srinivasa , Gaowen Liu , William Yang Wang , Yali Du , Xin Eric Wang

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) refers to humans' ability to understand and infer the desires, beliefs, and intentions of others. The acquisition of ToM plays a key role in humans' social cognition and interpersonal relations. Though indispensable for…

Computation and Language · Computer Science 2024-05-21 Jincenzi Wu , Zhuang Chen , Jiawen Deng , Sahand Sabour , Helen Meng , Minlie Huang

Theory of Mind (ToM) -- the ability to model others' mental states -- is fundamental to human social cognition. Whether large language models (LLMs) can develop ToM has been tested exclusively through static vignettes, leaving open whether…

Artificial Intelligence · Computer Science 2026-04-07 Hsieh-Ting Lin , Tsung-Yu Hou

As Large Language Models (LLMs) gain agentic abilities, they will have to navigate complex multi-agent scenarios, interacting with human users and other agents in cooperative and competitive settings. This will require new reasoning skills,…

Artificial Intelligence · Computer Science 2025-06-26 Andrei Lupu , Timon Willi , Jakob Foerster

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

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

Theory of Mind (ToM) is the ability to understand human thinking and decision-making, an ability that plays a crucial role in social interaction between people, including linguistic communication. This paper investigates to what extent…

Computation and Language · Computer Science 2023-09-14 Bart Holterman , Kees van Deemter

Successful human-agent teaming relies on an agent being able to understand instructions given by a (human) principal. In many cases, an instruction may be incomplete or ambiguous. In such cases, the agent must infer the unspoken intentions…

Computation and Language · Computer Science 2026-04-20 Fardin Saad , Pradeep K. Murukannaiah , Munindar P. Singh

Language is fundamental to human cooperation, facilitating not only the exchange of information but also the coordination of actions through shared interpretations of situational contexts. This study explores whether the Generative…

Computation and Language · Computer Science 2025-10-16 Agnese Lombardi , Alessandro Lenci