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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),…

Computation and Language · Computer Science 2025-05-27 Fangxu Yu , Lai Jiang , Shenyi Huang , Zhen Wu , Xinyu Dai

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

We present a new explainable AI (XAI) framework aimed at increasing justified human trust and reliance in the AI machine through explanations. We pose explanation as an iterative communication process, i.e. dialog, between the machine and…

Artificial Intelligence · Computer Science 2019-09-17 Arjun R. Akula , Changsong Liu , Sari Saba-Sadiya , Hongjing Lu , Sinisa Todorovic , Joyce Y. Chai , Song-Chun Zhu

Theory of Mind (ToM), the ability to attribute beliefs, intentions, or mental states to others, is a crucial feature of human social interaction. In complex environments, where the human sensory system reaches its limits, behaviour is…

Neural and Evolutionary Computing · Computer Science 2024-07-26 Francesca Bianco , Silvia Rigato , Maria Laura Filippetti , Dimitri Ognibene

Large language models (LLMs) face persistent challenges when handling long-context tasks, most notably the lost in the middle issue, where information located in the middle of a long input tends to be underutilized. Some existing methods…

Artificial Intelligence · Computer Science 2025-10-22 Song Yu , Xiaofei Xu , Ke Deng , Li Li , Lin Tian

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

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

Design fictions allow us to prototype the future. They enable us to interrogate emerging or non-existent technologies and examine their implications. We present three design fictions that probe the potential consequences of operationalizing…

Human-Computer Interaction · Computer Science 2024-06-19 Justin D. Weisz , Michael Muller , Arielle Goldberg , Dario Andres Silva Moran

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

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…

Computation and Language · Computer Science 2025-05-19 Yi-Long Lu , Chunhui Zhang , Jiajun Song , Lifeng Fan , Wei Wang

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…

Computation and Language · Computer Science 2025-02-14 Karahan Sarıtaş , Kıvanç Tezören , Yavuz Durmazkeser

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

Good teachers always tailor their explanations to the learners. Cognitive scientists model this process under the rationality principle: teachers try to maximise the learner's utility while minimising teaching costs. To this end, human…

Machine Learning · Computer Science 2023-10-02 Clémence Grislain , Hugo Caselles-Dupré , Olivier Sigaud , Mohamed Chetouani

Despite the recent advancement in the social robotic field, important limitations restrain its progress and delay the application of robots in everyday scenarios. In the present paper, we propose to develop computational models inspired by…

Robotics · Computer Science 2019-09-04 Francesca Bianco , Dimitri Ognibene

Guilt aversion induces experience of a utility loss in people if they believe they have disappointed others, and this promotes cooperative behaviour in human. In psychological game theory, guilt aversion necessitates modelling of agents…

Artificial Intelligence · Computer Science 2020-09-17 Dung Nguyen , Svetha Venkatesh , Phuoc Nguyen , Truyen Tran

Theory of Mind (ToM)-the cognitive ability to reason about mental states of ourselves and others, is the foundation of social interaction. Although ToM comes naturally to humans, it poses a significant challenge to even the most advanced…

Computation and Language · Computer Science 2024-07-02 Guiyang Hou , Wenqi Zhang , Yongliang Shen , Linjuan Wu , Weiming Lu

Theory of Mind (ToM) is a critical component of intelligence but its assessment remains the subject of heated debates. Prior research applied human ToM assessments to natural language processing models using either human-created…

Computation and Language · Computer Science 2023-11-08 Damien Sileo , Antoine Lernould

Theory of Mind (ToM), the capacity to comprehend the mental states of distinct individuals, is essential for numerous practical applications. With the development of large language models (LLMs), there is a heated debate about whether they…

Computation and Language · Computer Science 2024-10-29 Xiaomeng Ma , Lingyu Gao , Qihui Xu

Understanding each other is the key to success in collaboration. For humans, attributing mental states to others, the theory of mind, provides the crucial advantage. We argue for formulating human--AI interaction as a multi-agent problem,…

Human-Computer Interaction · Computer Science 2019-12-12 Mustafa Mert Çelikok , Tomi Peltola , Pedram Daee , Samuel Kaski

While humans are inherently social creatures, the challenge of identifying when and how to assist and collaborate with others - particularly when pursuing independent goals - can hinder cooperation. To address this challenge, we aim to…

Artificial Intelligence · Computer Science 2025-09-08 Matteo Bortoletto , Yichao Zhou , Lance Ying , Tianmin Shu , Andreas Bulling
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