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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…

计算与语言 · 计算机科学 2023-09-06 Mohsen Jamali , Ziv M. Williams , Jing Cai

Large Language Models (LLMs) have recently shown a promise and emergence of Theory of Mind (ToM) ability and even outperform humans in certain ToM tasks. To evaluate and extend the boundaries of the ToM reasoning ability of LLMs, we propose…

人工智能 · 计算机科学 2024-06-10 Weizhi Tang , Vaishak Belle

The escalating debate on AI's capabilities warrants developing reliable metrics to assess machine "intelligence". Recently, many anecdotal examples were used to suggest that newer large language models (LLMs) like ChatGPT and GPT-4 exhibit…

计算与语言 · 计算机科学 2023-05-25 Natalie Shapira , Mosh Levy , Seyed Hossein Alavi , Xuhui Zhou , Yejin Choi , Yoav Goldberg , Maarten Sap , Vered Shwartz

Intuitive psychology is a pillar of common-sense reasoning. The replication of this reasoning in machine intelligence is an important stepping-stone on the way to human-like artificial intelligence. Several recent tasks and benchmarks for…

人工智能 · 计算机科学 2023-03-15 Tomer Ullman

Theory of Mind (ToM) is a hallmark of human cognition, allowing individuals to reason about others' beliefs and intentions. Engineers behind recent advances in Artificial Intelligence (AI) have claimed to demonstrate comparable…

人工智能 · 计算机科学 2025-04-01 Nitay Alon , Joseph Barnby , Reuth Mirsky , Stefan Sarkadi

Can large multimodal models have a human-like ability for emotional and social reasoning, and if so, how does it work? Recent research has discovered emergent theory-of-mind (ToM) reasoning capabilities in large language models (LLMs). LLMs…

计算机视觉与模式识别 · 计算机科学 2025-09-16 Zhawnen Chen , Tianchun Wang , Yizhou Wang , Michal Kosinski , Xiang Zhang , Yun Fu , Sheng Li

Social reasoning necessitates the capacity of theory of mind (ToM), the ability to contextualise and attribute mental states to others without having access to their internal cognitive structure. Recent machine learning approaches to ToM…

人工智能 · 计算机科学 2023-01-18 Dung Nguyen , Phuoc Nguyen , Hung Le , Kien Do , Svetha Venkatesh , Truyen Tran

Existing Theory of Mind (ToM) benchmarks diverge from real-world scenarios in three aspects: 1) they assess a limited range of mental states such as beliefs, 2) false beliefs are not comprehensively explored, and 3) the diverse personality…

Theory of Mind (ToM), the ability to understand the mental states of oneself and others, remains a challenging area for large language models (LLMs), which often fail to predict human mental states accurately. In this paper, we introduce…

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

Eleven Large Language Models (LLMs) were assessed using a custom-made battery of false-belief tasks, considered a gold standard in testing Theory of Mind (ToM) in humans. The battery included 640 prompts spread across 40 diverse tasks, each…

计算与语言 · 计算机科学 2024-11-06 Michal Kosinski

Theory of Mind (ToM) can be used to assess the capabilities of Large Language Models (LLMs) in complex scenarios where social reasoning is required. While the research community has proposed many ToM benchmarks, their hardness varies…

人工智能 · 计算机科学 2024-10-10 X. Angelo Huang , Emanuele La Malfa , Samuele Marro , Andrea Asperti , Anthony Cohn , Michael Wooldridge

Datasets used for emotion recognition tasks typically contain overt cues that can be used in predicting the emotions expressed in a text. However, one challenge is that texts sometimes contain covert contextual cues that are rich in…

计算与语言 · 计算机科学 2025-06-03 Gerard Christopher Yeo , Kokil Jaidka

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

Monitoring autonomous large language model (LLM) agents for covert malicious behavior is challenging due to delayed, context-dependent, and long-horizon attack patterns. Agents may pursue hidden objectives while maintaining superficially…

机器学习 · 计算机科学 2026-05-26 Nesreen K. Ahmed , Nima Nafisi

Theory of Mind (ToM) is the ability to attribute mental states to others, the basis of human cognition. At present, there has been growing interest in the AI with cognitive abilities, for example in healthcare and the motoring industry.…

人工智能 · 计算机科学 2023-03-22 Yuanyuan Mao , Shuang Liu , Pengshuai Zhao , Qin Ni , Xin Lin , Liang He

When researchers claim AI systems possess ToM or mental models, they are fundamentally discussing behavioral predictions and bias corrections rather than genuine mental states. This position paper argues that the current discourse conflates…

人机交互 · 计算机科学 2025-10-06 Xiaoyun Yin , Elmira Zahmat Doost , Shiwen Zhou , Garima Arya Yadav , Jamie C. Gorman

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 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…

计算与语言 · 计算机科学 2023-09-14 Bart Holterman , Kees van Deemter

"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…