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相关论文: Applied Theory of Mind and Large Language Models -…

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Cognitive psychology delves on understanding perception, attention, memory, language, problem-solving, decision-making, and reasoning. Large language models (LLMs) are emerging as potent tools increasingly capable of performing human-level…

计算与语言 · 计算机科学 2023-04-13 Sifatkaur Dhingra , Manmeet Singh , Vaisakh SB , Neetiraj Malviya , Sukhpal Singh Gill

Background: Rapid advancements in natural language processing have led to the development of large language models with the potential to revolutionize mental health care. These models have shown promise in assisting clinicians and providing…

计算与语言 · 计算机科学 2024-05-16 Birger Moell

Background: The increasing deployment of Conversational Artificial Intelligence (CAI) in mental health interventions necessitates an evaluation of their efficacy in rectifying cognitive biases and recognizing affect in human-AI…

计算机与社会 · 计算机科学 2025-02-11 Marcin Rządeczka , Anna Sterna , Julia Stolińska , Paulina Kaczyńska , Marcin Moskalewicz

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

Artificial intelligence (AI) researchers have been developing and refining large language models (LLMs) that exhibit remarkable capabilities across a variety of domains and tasks, challenging our understanding of learning and cognition. The…

OpenAI's ChatGPT (GPT-4 and GPT-4o) and other Large Language Models (LLMs) like Microsoft's Copilot, Google's Gemini 1.5 Pro, and Antrophic's Claude 3.5 Sonnet can be effectively used in various phases of scientific research. Their…

人工智能 · 计算机科学 2024-09-24 Goran Bubaš

Use of large language models such as ChatGPT (GPT-4/GPT-5) for mental health support has grown rapidly, emerging as a promising route to assess and help people with mood disorders like depression. However, we have a limited understanding of…

Background: Artificial intelligence language models have shown promise in various applications, including assisting with clinical decision-making as demonstrated by strong performance of large language models on medical licensure exams.…

计算与语言 · 计算机科学 2023-05-10 Timothy Poterucha , Pierre Elias , Christopher M. Haggerty

Language is fundamental to human cooperation, facilitating not only the exchange of information but also the coordination of actions through shared interpretations of situational contexts. This study explores whether the Generative…

计算与语言 · 计算机科学 2025-10-16 Agnese Lombardi , Alessandro Lenci

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

Recent studies have demonstrated promising performance of ChatGPT and GPT-4 on several medical domain tasks. However, none have assessed its performance using a large-scale real-world electronic health record database, nor have evaluated…

计算与语言 · 计算机科学 2023-07-18 Jingqing Zhang , Kai Sun , Akshay Jagadeesh , Mahta Ghahfarokhi , Deepa Gupta , Ashok Gupta , Vibhor Gupta , Yike Guo

The immense number of parameters and deep neural networks make large language models (LLMs) rival the complexity of human brains, which also makes them opaque ``black box'' systems that are challenging to evaluate and interpret. AI…

人工智能 · 计算机科学 2026-03-16 Yibai Li , Xiaolin Lin , Zhenghui Sha , Zhiye Jin , Xiaobing Li

Large Language Models (LLM) have recently been shown to perform well at various tasks from language understanding, reasoning, storytelling, and information search to theory of mind. In an extension of this work, we explore the ability of…

计算与语言 · 计算机科学 2023-10-31 Nutchanon Yongsatianchot , Tobias Thejll-Madsen , Stacy Marsella

Large language models (LLMs) like GPT-4 show potential for scaling motivational interviewing (MI) in addiction care, but require systematic evaluation of therapeutic capabilities. We present a computational framework assessing…

计算与语言 · 计算机科学 2025-05-26 Yinghui Huang , Yuxuan Jiang , Hui Liu , Yixin Cai , Weiqing Li , Xiangen Hu

Generative artificial intelligence tools, like ChatGPT, are an increasingly utilized resource among computational social scientists. Nevertheless, there remains space for improved understanding of the performance of ChatGPT in complex tasks…

计算与语言 · 计算机科学 2025-12-02 Breanna E. Green , Ashley L. Shea , Pengfei Zhao , Drew B. Margolin

Research suggests that tutors should adopt a strategic approach when addressing math errors made by low-efficacy students. Rather than drawing direct attention to the error, tutors should guide the students to identify and correct their…

人机交互 · 计算机科学 2024-01-09 Sanjit Kakarla , Danielle Thomas , Jionghao Lin , Shivang Gupta , Kenneth R. Koedinger

This study investigates the efficacy of large language models (LLMs) as tools for grading master-level student essays. Utilizing a sample of 60 essays in political science, the study compares the accuracy of grades suggested by the GPT-4…

综合经济学 · 经济学 2024-06-25 Magnus Lundgren

Diagnosing language disorders associated with autism is a complex challenge, often hampered by the subjective nature and variability of traditional assessment methods. Traditional diagnostic methods not only require intensive human effort…

计算与语言 · 计算机科学 2024-12-02 Chuanbo Hu , Wenqi Li , Mindi Ruan , Xiangxu Yu , Shalaka Deshpande , Lynn K. Paul , Shuo Wang , Xin Li

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…

计算与语言 · 计算机科学 2023-04-04 Maarten Sap , Ronan LeBras , Daniel Fried , Yejin Choi

Many believe that use of generative AI as a private tutor has the potential to shrink access and achievement gaps between students and schools with abundant resources versus those with fewer resources. Shrinking the gap is possible only if…

其他统计学 · 统计学 2025-06-12 Monnie McGee , Bivin Sadler
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