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In the rapidly evolving landscape of large language models (LLMs), most research has primarily viewed them as independent individuals, focusing on assessing their capabilities through standardized benchmarks and enhancing their general…

人机交互 · 计算机科学 2024-01-17 Jiayin Wang , Weizhi Ma , Peijie Sun , Min Zhang , Jian-Yun Nie

The advent of large language models (LLMs) has revolutionized natural language processing, enabling the generation of coherent and contextually relevant human-like text. As LLMs increasingly powerconversational agents used by the general…

Large language models (LLMs) are increasingly used to model human social behavior, with recent research exploring their ability to simulate social dynamics. Here, we test whether LLMs mirror human behavior in social dilemmas, where…

社会与信息网络 · 计算机科学 2024-11-18 Jin Han , Balaraju Battu , Ivan Romić , Talal Rahwan , Petter Holme

In this study, we explore the application of Large Language Models (LLMs) for generating synthetic users and simulating user conversations with a task-oriented dialogue system and present detailed results and their analysis. We propose a…

计算与语言 · 计算机科学 2025-02-19 Adnan Ahmad , Stefan Hillmann , Sebastian Möller

Sycophancy, the tendency of LLM-based chatbots to express excessive agreement with their users, even when inappropriate, is emerging as a significant risk in human-AI interactions. However, the extent to which this affects human-LLM…

人机交互 · 计算机科学 2026-02-12 Jessica Y. Bo , Majeed Kazemitabaar , Mengqing Deng , Michael Inzlicht , Ashton Anderson

Recent advances in large language models (LLMs) have enabled human-like social simulations at unprecedented scale and fidelity, offering new opportunities for computational social science. A key challenge, however, is the construction of…

计算与语言 · 计算机科学 2025-10-07 Zhengyu Hu , Jianxun Lian , Zheyuan Xiao , Max Xiong , Yuxuan Lei , Tianfu Wang , Kaize Ding , Ziang Xiao , Nicholas Jing Yuan , Xing Xie

There have been many recent advances in the fields of generative Artificial Intelligence (AI) and Large Language Models (LLM), with the Generative Pre-trained Transformer (GPT) model being a leading "chatbot." LLM-based chatbots have become…

计算与语言 · 计算机科学 2024-08-12 Gauri Anil Godghase , Rishit Agrawal , Tanush Obili , Mark Stamp

Large language models (LLMs) are revolutionizing every aspect of society. They are increasingly used in problem-solving tasks to substitute human assessment and reasoning. LLMs are trained on what humans write and are thus exposed to human…

软件工程 · 计算机科学 2025-10-14 Fengfei Sun , Ningke Li , Kailong Wang , Lorenz Goette

Large Language Models have shown exceptional generative abilities in various natural language and generation tasks. However, possible anthropomorphization and leniency towards failure cases have propelled discussions on emergent abilities…

机器人学 · 计算机科学 2024-01-18 Mudit Verma , Siddhant Bhambri , Subbarao Kambhampati

Large Language Models (LLMs) are transforming artificial intelligence, enabling autonomous agents to perform diverse tasks across various domains. These agents, proficient in human-like text comprehension and generation, have the potential…

人工智能 · 计算机科学 2024-04-10 Saikat Barua

Interfaces for interacting with large language models (LLMs) are often designed to mimic human conversations, typically presenting a single response to user queries. This design choice can obscure the probabilistic and predictive nature of…

人机交互 · 计算机科学 2025-03-21 Chelse Swoopes , Tyler Holloway , Elena L. Glassman

This paper explores the potential of large language models (LLMs) as reliable analytical tools in linguistic research, focusing on the emergence of affective meanings in temporal expressions involving manner-of-motion verbs. While LLMs like…

计算与语言 · 计算机科学 2025-07-15 Rosa Illan Castillo , Javier Valenzuela

Increased sophistication of large language models (LLMs) and the consequent quality of generated multilingual text raises concerns about potential disinformation misuse. While humans struggle to distinguish LLM-generated content from…

Large Language Models (LLMs) are increasingly used in everyday life and research. One of the most common use cases is conversational interactions, enabled by the language generation capabilities of LLMs. Just as between two humans, a…

计算与语言 · 计算机科学 2024-11-12 Jingyao Zheng , Xian Wang , Simo Hosio , Xiaoxian Xu , Lik-Hang Lee

Mediation is a dispute resolution method featuring a neutral third-party (mediator) who intervenes to help the individuals resolve their dispute. In this paper, we investigate to which extent large language models (LLMs) are able to act as…

The advent of ChatGPT by OpenAI has prompted extensive discourse on its potential implications for science and higher education. While the impact on education has been a primary focus, there is limited empirical research on the effects of…

计算机与社会 · 计算机科学 2023-06-19 Benedikt Fecher , Marcel Hebing , Melissa Laufer , Jörg Pohle , Fabian Sofsky

The rise of echo chambers on social media platforms has heightened concerns about polarization and the reinforcement of existing beliefs. Traditional approaches for simulating echo chamber formation have often relied on predefined rules and…

社会与信息网络 · 计算机科学 2025-02-26 Chenhao Gu , Ling Luo , Zainab Razia Zaidi , Shanika Karunasekera

Large language models (LLMs), due to their advanced natural language capabilities, have seen significant success in applications where the user interface is usually a conversational artificial intelligence (AI) agent and engages the user…

计算与语言 · 计算机科学 2025-03-10 Fei Wei , Yaliang Li , Bolin Ding

As Large Language Models (LLMs) become increasingly integrated into our everyday lives, understanding their ability to comprehend human mental states becomes critical for ensuring effective interactions. However, despite the recent attempts…

计算与语言 · 计算机科学 2023-12-06 Kanishk Gandhi , Jan-Philipp Fränken , Tobias Gerstenberg , Noah D. Goodman

As Large Language Models (LLMs) are integrated with human daily applications rapidly, many societal and ethical concerns are raised regarding the behavior of LLMs. One of the ways to comprehend LLMs' behavior is to analyze their…

计算与语言 · 计算机科学 2024-02-23 Xiaoyang Song , Yuta Adachi , Jessie Feng , Mouwei Lin , Linhao Yu , Frank Li , Akshat Gupta , Gopala Anumanchipalli , Simerjot Kaur