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相关论文: Does ChatGPT Have a Mind?

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Large Language Models (LLMs) have achieved remarkable success recently, displaying exceptional capabilities in creating understandable and organized text. These LLMs have been utilized in diverse fields, such as clinical research, where…

统计金融 · 定量金融 2025-01-17 Shuoling Liu , Gaoguo Jia , Yuhang Jiang , Liyuan Chen , Qiang Yang

Large language models (LLMs) have recently shown impressive performance on tasks involving reasoning, leading to a lively debate on whether these models possess reasoning capabilities similar to humans. However, despite these successes, the…

计算与语言 · 计算机科学 2024-08-07 Philipp Mondorf , Barbara Plank

Large language models (LLMs) show increasingly advanced emergent capabilities and are being incorporated across various societal domains. Understanding their behavior and reasoning abilities therefore holds significant importance. We argue…

In human society, trust is an essential component of social attitude that helps build and maintain long-term, healthy relationships which creates a strong foundation for cooperation, enabling individuals to work together effectively and…

人机交互 · 计算机科学 2025-07-30 Anushka Debnath , Stephen Cranefield , Emiliano Lorini , Bastin Tony Roy Savarimuthu

Sentiment analysis (SA) has been a long-standing research area in natural language processing. It can offer rich insights into human sentiments and opinions and has thus seen considerable interest from both academia and industry. With the…

计算与语言 · 计算机科学 2023-05-25 Wenxuan Zhang , Yue Deng , Bing Liu , Sinno Jialin Pan , Lidong Bing

Despite widespread debunking, many psychological myths remain deeply entrenched. This paper investigates whether Large Language Models (LLMs) mimic human behaviour of myth belief and explores methods to mitigate such tendencies. Using 50…

人机交互 · 计算机科学 2025-07-17 Bevan Koopman , Guido Zuccon

Large language models (LLMs) in the form of chatbots like ChatGPT and Llama are increasingly proposed as "silicon samples" for simulating human opinions. This study examines this notion, arguing that LLMs may misrepresent population-level…

计算与语言 · 计算机科学 2025-07-08 Dai Li , Linzhuo Li , Huilian Sophie Qiu

The increasing integration of large language models (LLMs) based conversational agents into everyday life raises critical cognitive and social questions about their potential to influence human opinions. Although previous studies have shown…

计算与语言 · 计算机科学 2025-05-14 Miriam Havin , Timna Wharton Kleinman , Moran Koren , Yaniv Dover , Ariel Goldstein

Large Language Models (LLMs) have demonstrated remarkable performance on a wide range of Natural Language Processing (NLP) tasks, often matching or even beating state-of-the-art task-specific models. This study aims at assessing the…

The integration of Large Language Models (LLMs) and chatbots introduces new challenges and opportunities for decision-making in software testing. Decision-making relies on a variety of information, including code, requirements…

软件工程 · 计算机科学 2024-06-18 Francisco Gomes de Oliveira Neto

Large Language Models (LLMs) like GPT and Bard are capable of producing code based on textual descriptions, with remarkable efficacy. Such technology will have profound implications for computing education, raising concerns about cheating,…

新兴技术 · 计算机科学 2024-04-29 Bruno Pereira Cipriano , Pedro Alves

Large language models (LLMs) are the result of a massive experiment in bottom-up, data-driven reverse engineering of language at scale. Despite their utility in a number of downstream NLP tasks, ample research has shown that LLMs are…

人工智能 · 计算机科学 2024-08-05 Walid S. Saba

Recently, computer scientists have developed large language models (LLMs) by training prediction models with large-scale language corpora and human reinforcements. The LLMs have become one promising way to implement artificial intelligence…

计算机与社会 · 计算机科学 2023-08-22 Hyemin Han

The field of large language models (LLMs) has made significant progress, and their knowledge storage capacity is approaching that of human beings. Furthermore, advanced techniques, such as prompt learning and reinforcement learning, are…

计算与语言 · 计算机科学 2023-08-01 Keyu Pan , Yawen Zeng

With the introduction of ChatGPT, Large Language Models (LLMs) have received enormous attention in healthcare. Despite their potential benefits, researchers have underscored various ethical implications. While individual instances have…

计算机与社会 · 计算机科学 2024-07-09 Joschka Haltaufderheide , Robert Ranisch

Large language models (LLMs) chatbots like ChatGPT are increasingly used for mental health support. They offer accessible, therapeutic support but also raise concerns about misinformation, over-reliance, and risks in high-stakes contexts of…

计算机与社会 · 计算机科学 2025-12-09 Lingyao Li , Xiaoshan Huang , Renkai Ma , Ben Zefeng Zhang , Haolun Wu , Fan Yang , Chen Chen

Large Language Models (LLMs) are frequently discussed in academia and the general public as support tools for virtually any use case that relies on the production of text, including software engineering. Currently there is much debate, but…

软件工程 · 计算机科学 2024-05-22 Ranim Khojah , Mazen Mohamad , Philipp Leitner , Francisco Gomes de Oliveira Neto

The observed similarities in the behavior of humans and Large Language Models (LLMs) have prompted researchers to consider the potential of using LLMs as models of human cognition. However, several significant challenges must be addressed…

人工智能 · 计算机科学 2025-05-07 Jian-Qiao Zhu , Haijiang Yan , Thomas L. Griffiths

Large Language Models (LLMs), such as ChatGPT, have taken the world by storm and have passed certain forms of the Turing test. However, LLMs are not limited to human language and analyze sequential data, such as DNA, protein, and gene…

基因组学 · 定量生物学 2024-01-08 Hilbert Yuen In Lam , Xing Er Ong , Marek Mutwil

This work is intended as a voice in the discussion over previous claims that a pretrained large language model (LLM) based on the Transformer model architecture can be sentient. Such claims have been made concerning the LaMDA model and also…

计算与语言 · 计算机科学 2024-12-13 Matthew Shardlow , Piotr Przybyła