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Related papers: Mind Modeling: A ToM-Based Framework for Personali…

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Persuasive dialogue requires reasoning about others' latent mental states, a capability known as Theory of Mind (ToM). However, due to reliance on simple prompting strategies and insufficient ToM knowledge, existing LLMs often fail to…

Artificial Intelligence · Computer Science 2026-05-22 Minghui Ma , Bin Guo , Runze Yang , Mengqi Chen , Yan Liu , Jingqi Liu , Yahan Pei , Xuehao Ma , Qiuyun Zhang , Zhiwen Yu

Understanding people's social interactions in complex real-world scenarios often relies on intricate mental reasoning. To truly understand how and why people interact with one another, we must infer the underlying mental states that give…

Artificial Intelligence · Computer Science 2025-01-24 Haojun Shi , Suyu Ye , Xinyu Fang , Chuanyang Jin , Leyla Isik , Yen-Ling Kuo , Tianmin Shu

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…

Artificial Intelligence · Computer Science 2026-05-18 Nanxu Gong , Zixin Chen , Haotian Li , Zishu Zhao , Jianxun Lian , Huamin Qu , Yanjie Fu , Xing Xie

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…

Artificial Intelligence · Computer Science 2025-03-03 Jennifer Hu , Felix Sosa , Tomer Ullman

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

In this paper, we investigate the brain activity elicited during perception of animated shapes as stimuli, which have been found to evoke mental state attributions. Contrary to a previous study, we incorporated the participants' responses…

Neurons and Cognition · Quantitative Biology 2023-11-22 Varad Srivastava , Minaxi Goel

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…

Computation and Language · Computer Science 2026-05-29 Neemesh Yadav , Palakorn Achananuparp , Jing Jiang , Ee-Peng Lim

We introduce a novel Theory of Mind (ToM) framework inspired by dual-process theories from cognitive science, integrating a fast, habitual graph-based reasoning system (System 1), implemented via graph convolutional networks (GCNs), and a…

Artificial Intelligence · Computer Science 2025-09-11 Shalima Binta Manir , Tim Oates

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

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

Despite rapid progress in multimodal large language models (MLLMs), their capability for deep emotional understanding remains limited. We argue that genuine affective intelligence requires explicit modeling of Theory of Mind (ToM), the…

Computer Vision and Pattern Recognition · Computer Science 2026-03-03 Meng Luo , Bobo Li , Shanqing Xu , Shize Zhang , Qiuchan Chen , Menglu Han , Wenhao Chen , Yanxiang Huang , Hao Fei , Mong-Li Lee , Wynne Hsu

Large language models (LLMs) are increasingly tested for a "Theory of Mind" (ToM) - the ability to attribute mental states to oneself and others. Yet most evaluations stop at explicit belief attribution in classical toy stories or stylized…

Computation and Language · Computer Science 2026-03-03 Yuling Gu , Oyvind Tafjord , Hyunwoo Kim , Jared Moore , Ronan Le Bras , Peter Clark , Yejin Choi

Humans with an average level of social cognition can infer the beliefs of others based solely on the nonverbal communication signals (e.g. gaze, gesture, pose and contextual information) exhibited during social interactions. This social…

Computer Vision and Pattern Recognition · Computer Science 2022-06-23 Jiafei Duan , Samson Yu , Nicholas Tan , Li Yi , 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

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…

Computation and Language · Computer Science 2024-10-08 Chunkit Chan , Cheng Jiayang , Yauwai Yim , Zheye Deng , Wei Fan , Haoran Li , Xin Liu , Hongming Zhang , Weiqi Wang , Yangqiu Song

Theory-of-mind (ToM), a human ability to infer the intentions and thoughts of others, is an essential part of empathetic experiences. We provide here the framework for using NLP models to measure ToM expressed in written texts. For this…

Computation and Language · Computer Science 2021-08-27 Yoon Kyung Lee , Inju Lee , Jae Eun Park , Yoonwon Jung , Jiwon Kim , Sowon Hahn

With their recent development, large language models (LLMs) have been found to exhibit a certain level of Theory of Mind (ToM), a complex cognitive capacity that is related to our conscious mind and that allows us to infer another's beliefs…

Computation and Language · Computer Science 2023-09-06 Mohsen Jamali , Ziv M. Williams , Jing Cai

"Thinking is for Doing." Humans can infer other people's mental states from observations--an ability called Theory-of-Mind (ToM)--and subsequently act pragmatically on those inferences. Existing question answering benchmarks such as ToMi…

There is a clear desire to model and comprehend human behavior. Trends in research covering this topic show a clear assumption that many view human reasoning as the presupposed standard in artificial reasoning. As such, topics such as game…

Artificial Intelligence · Computer Science 2022-05-16 Andrew Fuchs , Andrea Passarella , Marco Conti

Social intelligence and Theory of Mind (ToM), i.e., the ability to reason about the different mental states, intents, and reactions of all people involved, allow humans to effectively navigate and understand everyday social interactions. As…

Computation and Language · Computer Science 2023-04-04 Maarten Sap , Ronan LeBras , Daniel Fried , Yejin Choi
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