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Large language models (LLMs) such as ChatGPT and GPT-4 have demonstrated impressive capabilities in various generative tasks. However, their performance is often hampered by limitations in accessing and leveraging long-term memory, leading…

人工智能 · 计算机科学 2024-07-16 Zhongsheng Wang , Jiamou Liu , Qiming Bao , Hongfei Rong , Jingfeng Zhang

Generative Large Language Models (gLLMs), such as ChatGPT, are increasingly being used in communication research for content analysis. Studies show that gLLMs can outperform both crowd workers and trained coders, such as research…

人工智能 · 计算机科学 2025-10-29 Daria Kravets-Meinke , Hannah Schmid-Petri , Sonja Niemann , Ute Schmid

In this paper, we study how well humans can detect text generated by commercial LLMs (GPT-4o, Claude, o1). We hire annotators to read 300 non-fiction English articles, label them as either human-written or AI-generated, and provide…

计算与语言 · 计算机科学 2025-05-21 Jenna Russell , Marzena Karpinska , Mohit Iyyer

Large Language Models (LLMs) have gained significant attention due to their high performance on a wide range of natural language tasks since the release of ChatGPT. The LLMs learn to understand and generate language by training billions of…

计算与语言 · 计算机科学 2024-08-29 Wazir Ali , Sampo Pyysalo

Large language models like GPT have proven widely successful on natural language understanding tasks based on written text documents. In this paper, we investigate an LLM's performance on recordings of a group oral communication task in…

计算与语言 · 计算机科学 2024-06-18 Zhuoxu Duan , Zhengye Yang , Samuel Westby , Christoph Riedl , Brooke Foucault Welles , Richard J. Radke

Large Language Models (LLMs), such as ChatGPT, exhibit advanced capabilities in generating text, images, and videos. However, their effective use remains constrained by challenges in prompt formulation, personalization, and opaque…

人机交互 · 计算机科学 2025-03-04 Si Thu , A. Baki Kocaballi

Although Large Language Models (LLMs) have demonstrated remarkable code-generation ability, they still struggle with complex tasks. In real-world software development, humans usually tackle complex tasks through collaborative teamwork, a…

软件工程 · 计算机科学 2024-05-14 Yihong Dong , Xue Jiang , Zhi Jin , Ge Li

This study consists of qualitative empirical research, conducted through exploratory tests with two different Large Language Models (LLMs) chatbots: ChatGPT and Gemini. The methodological procedure involved exploratory tests based on…

计算与语言 · 计算机科学 2024-07-19 Melise Peruchini , Julio Monteiro Teixeira

Large language models (LLMs) have demonstrated impressive capabilities across various NLP tasks. Additionally, LLMs are also highly valuable in supporting software engineering tasks, particularly in the field of code generation. Automatic…

软件工程 · 计算机科学 2024-04-16 Zhijie Liu , Yutian Tang , Xiapu Luo , Yuming Zhou , Liang Feng Zhang

Large language models (LLMs) such as ChatGPT, Gemini, LlaMa, and Claude are trained on massive quantities of text parsed from the internet and have shown a remarkable ability to respond to complex prompts in a manner often indistinguishable…

光学 · 物理学 2025-04-01 Darui Lu , Yang Deng , Jordan M. Malof , Willie J. Padilla

Large language models (LLMs), like ChatGPT, are capable of computing affectionately nuanced text that therefore can shape online interactions, including dating. This study explores how individuals experience closeness and romantic interest…

人机交互 · 计算机科学 2025-04-22 Jessica Szczuka , Lisa Mühl , Paula Ebner , Simon Dubé

While large language models have made strides in natural language processing, their proficiency in complex reasoning tasks requiring formal language comprehension, such as chess, remains less investigated. This paper probes the performance…

计算与语言 · 计算机科学 2023-08-30 Mu-Tien Kuo , Chih-Chung Hsueh , Richard Tzong-Han Tsai

This paper examines the question of whether Large Language Models (LLMs) like ChatGPT possess minds, focusing specifically on whether they have a genuine folk psychology encompassing beliefs, desires, and intentions. We approach this…

计算与语言 · 计算机科学 2024-07-17 Simon Goldstein , Benjamin A. Levinstein

Large language models (LLMs), such as ChatGPT, are able to generate human-like, fluent responses for many downstream tasks, e.g., task-oriented dialog and question answering. However, applying LLMs to real-world, mission-critical…

计算与语言 · 计算机科学 2023-03-10 Baolin Peng , Michel Galley , Pengcheng He , Hao Cheng , Yujia Xie , Yu Hu , Qiuyuan Huang , Lars Liden , Zhou Yu , Weizhu Chen , Jianfeng Gao

Large language models (LLMs) like ChatGPT have shown significant advancements across diverse natural language understanding (NLU) tasks, including intelligent dialogue and autonomous agents. Yet, lacking widely acknowledged testing…

计算与语言 · 计算机科学 2024-05-10 Jinyang Wu , Feihu Che , Xinxin Zheng , Shuai Zhang , Ruihan Jin , Shuai Nie , Pengpeng Shao , Jianhua Tao

Recent advances in natural language processing (NLP) have led to the development of large language models (LLMs) such as ChatGPT. This paper proposes a methodology for developing and evaluating ChatGPT detectors for French text, with a…

计算与语言 · 计算机科学 2023-06-12 Wissam Antoun , Virginie Mouilleron , Benoît Sagot , Djamé Seddah

Recently, with the application progress of AIGC tools based on large language models (LLMs), led by ChatGPT, many AI experts and more non-professionals are trumpeting the "reasoning ability" of the LLMs. The present author considers that…

人工智能 · 计算机科学 2025-08-19 Jingde Cheng

Robots are increasingly common in industry and daily life, such as in nursing homes where they can assist staff. A key challenge is developing intuitive interfaces for easy communication. The use of Large Language Models (LLMs) like GPT-4…

机器人学 · 计算机科学 2024-08-01 Stanislau Stankevich , Wojciech Dudek

Large Language Models (LLMs) are known for their remarkable ability to generate synthesized 'knowledge', such as text documents, music, images, etc. However, there is a huge gap between LLM's and human capabilities for understanding…

计算与语言 · 计算机科学 2024-08-14 Vladimir Cherkassky , Eng Hock Lee

Ensuring the resilience of Large Language Models (LLMs) against malicious exploitation is paramount, with recent focus on mitigating offensive responses. Yet, the understanding of cant or dark jargon remains unexplored. This paper…

计算与语言 · 计算机科学 2024-05-03 Xu Ji , Jianyi Zhang , Ziyin Zhou , Zhangchi Zhao , Qianqian Qiao , Kaiying Han , Md Imran Hossen , Xiali Hei