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相关论文: HI-TOM: A Benchmark for Evaluating Higher-Order Th…

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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…

计算与语言 · 计算机科学 2025-08-26 Ruirui Chen , Weifeng Jiang , Chengwei Qin , Cheston Tan

The question of whether large language models (LLMs) possess Theory of Mind (ToM) -- often defined as the ability to reason about others' mental states -- has sparked significant scientific and public interest. However, the evidence as to…

人工智能 · 计算机科学 2025-03-03 Jennifer Hu , Felix Sosa , Tomer Ullman

This paper examines the extent to which large language models (LLMs) have developed higher-order theory of mind (ToM); the human ability to reason about multiple mental and emotional states in a recursive manner (e.g. I think that you…

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…

计算与语言 · 计算机科学 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…

计算与语言 · 计算机科学 2025-01-17 Sneheel Sarangi , Maha Elgarf , Hanan Salam

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…

计算与语言 · 计算机科学 2024-11-26 Jayanta Sadhu , Ayan Antik Khan , Noshin Nawal , Sanju Basak , Abhik Bhattacharjee , Rifat Shahriyar

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…

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.…

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…

计算与语言 · 计算机科学 2024-06-27 Weizhi Tang , Vaishak Belle

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…

人工智能 · 计算机科学 2024-06-04 Hainiu Xu , Runcong Zhao , Lixing Zhu , Jinhua Du , Yulan He

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…

计算与语言 · 计算机科学 2025-02-14 Karahan Sarıtaş , Kıvanç Tezören , Yavuz Durmazkeser

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…

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…

人工智能 · 计算机科学 2023-11-20 Alex Wilf , Sihyun Shawn Lee , Paul Pu Liang , Louis-Philippe Morency

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…

计算与语言 · 计算机科学 2024-06-11 Maryam Amirizaniani , Elias Martin , Maryna Sivachenko , Afra Mashhadi , Chirag Shah

Theory of Mind (ToM), the ability to attribute mental states to others and predict their behaviour, is fundamental to social intelligence. In this paper, we survey studies evaluating behavioural and representational ToM in Large Language…

计算与语言 · 计算机科学 2025-02-11 Hieu Minh "Jord" Nguyen

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…

人工智能 · 计算机科学 2026-03-05 Nanxu Gong , Haotian Li , Sixun Dong , Jianxun Lian , Yanjie Fu , Xing Xie

The study explores whether current Large Language Models (LLMs) exhibit Theory of Mind (ToM) capabilities -- specifically, the ability to infer others' beliefs, intentions, and emotions from text. Given that LLMs are trained on language…

计算与语言 · 计算机科学 2026-03-20 Anna Babarczy , Andras Lukacs , Peter Vedres , Zeteny Bujka

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…

计算与语言 · 计算机科学 2026-02-26 Christian Nickel , Laura Schrewe , Florian Mai , Lucie Flek

The ability to understand and predict the mental states of oneself and others, known as the Theory of Mind (ToM), is crucial for effective social scenarios. Although recent studies have evaluated ToM in Large Language Models (LLMs),…

计算与语言 · 计算机科学 2025-05-27 Fangxu Yu , Lai Jiang , Shenyi Huang , Zhen Wu , Xinyu Dai

Large Language Models (LLMs) have sparked substantial interest and debate concerning their potential emergence of Theory of Mind (ToM) ability. Theory of mind evaluations currently focuses on testing models using machine-generated data or…

计算与语言 · 计算机科学 2024-10-08 Chunkit Chan , Cheng Jiayang , Yauwai Yim , Zheye Deng , Wei Fan , Haoran Li , Xin Liu , Hongming Zhang , Weiqi Wang , Yangqiu Song
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