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相关论文: Towards Dynamic Theory of Mind: Evaluating LLM Ada…

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Existing dynamic Theory of Mind (ToM) benchmarks mostly place language models in a passive role: the model reads a sequence of connected scenarios and reports what people believe, feel, intend, and do as these states change. In real social…

人工智能 · 计算机科学 2026-01-28 Zhichao Liang , Satoshi Nakamura

Theory of Mind (ToM) is central to social cognition and human-AI interaction, and Large Language Models (LLMs) have been used to help understand and represent ToM. However, most evaluations treat ToM as a static judgment at a single moment,…

人工智能 · 计算机科学 2026-03-17 Thuy Ngoc Nguyen , Duy Nhat Phan , Cleotilde Gonzalez

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

Understanding Theory of Mind is essential for building socially intelligent multimodal agents capable of perceiving and interpreting human behavior. We introduce MoMentS (Multimodal Mental States), a comprehensive benchmark designed to…

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

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…

计算与语言 · 计算机科学 2023-12-06 Kanishk Gandhi , Jan-Philipp Fränken , Tobias Gerstenberg , Noah D. Goodman

Improving the Theory of Mind (ToM) capability of Large Language Models (LLMs) is crucial for effective social interactions between these AI models and humans. However, the existing benchmarks often measure ToM capability improvement through…

人工智能 · 计算机科学 2026-05-18 Nanxu Gong , Zixin Chen , Haotian Li , Zishu Zhao , Jianxun Lian , Huamin Qu , Yanjie Fu , Xing Xie

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) 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) reasoning with Large Language Models (LLMs) requires inferring how people's implicit, evolving beliefs shape what they seek and how they act under uncertainty -- especially in high-stakes settings such as disaster…

人工智能 · 计算机科学 2026-03-23 Ruxiao Chen , Xilei Zhao , Thomas J. Cova , Frank A. Drews , Susu Xu

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

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

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…

人工智能 · 计算机科学 2026-01-23 Haibo Tong , Zeyang Yue , Feifei Zhao , Erliang Lin , Lu Jia , Ruolin Chen , Yinqian Sun , Qian Zhang , Yi Zeng

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

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…

计算与语言 · 计算机科学 2026-02-17 Minyuan Ruan , Ziyue Wang , Kaiming Liu , Yunghwei Lai , Peng Li , Yang Liu

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)-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…

计算与语言 · 计算机科学 2026-03-13 Ruirui Chen , Weifeng Jiang , Chengwei Qin , Cheston Tan

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…

计算与语言 · 计算机科学 2024-10-10 Christian Nickel , Laura Schrewe , Lucie Flek

We introduce DialToM, an annotated Theory of Mind (ToM) benchmark built from naturalistic human-human dialogues using a multiple-choice evaluation framework. Concurrent with recent work showing a gap between explicit mental-state inference…

计算与语言 · 计算机科学 2026-05-29 Neemesh Yadav , Palakorn Achananuparp , Jing Jiang , Ee-Peng Lim
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