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相关论文: Are Large Language Models Moral Hypocrites? A Stud…

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Large Language Models (LLMs) have been reported to outperform existing automatic evaluation metrics in some tasks, such as text summarization and machine translation. However, there has been a lack of research on LLMs as evaluators in…

计算与语言 · 计算机科学 2024-05-28 Masamune Kobayashi , Masato Mita , Mamoru Komachi

In recent years, Large Language Models (LLMs) have gained immense attention due to their notable emergent capabilities, surpassing those seen in earlier language models. A particularly intriguing application of LLMs is their role as…

计算与语言 · 计算机科学 2023-11-02 Xue-Yong Fu , Md Tahmid Rahman Laskar , Cheng Chen , Shashi Bhushan TN

Despite the increasing usage of Large Language Models (LLMs) in answering questions in a variety of domains, their reliability and accuracy remain unexamined for a plethora of domains including the religious domains. In this paper, we…

计算与语言 · 计算机科学 2025-08-13 Farah Atif , Nursultan Askarbekuly , Kareem Darwish , Monojit Choudhury

Large language models (LLMs) are foundational explorations to artificial general intelligence, yet their alignment with human values via instruction tuning and preference learning achieves only superficial compliance. Here, we demonstrate…

计算与语言 · 计算机科学 2025-06-04 Jiawei Lian , Jianhong Pan , Lefan Wang , Yi Wang , Shaohui Mei , Lap-Pui Chau

Large language models (LLMs) are trained on vast amounts of data to generate natural language, enabling them to perform tasks like text summarization and question answering. These models have become popular in artificial intelligence (AI)…

While Large Language Models (LLMs) can amplify online misinformation, they also show promise in tackling misinformation. In this paper, we empirically study the capabilities of three LLMs -- ChatGPT, Gemini, and Claude -- in countering…

计算与语言 · 计算机科学 2025-09-29 Adiba Mahbub Proma , Neeley Pate , James Druckman , Gourab Ghoshal , Hangfeng He , Ehsan Hoque

As qualitative researchers show growing interest in using automated tools to support interpretive analysis, a large language model (LLM) is often introduced into an analytic workflow as is, without systematic evaluation of interpretive…

计算与语言 · 计算机科学 2026-04-02 Songhee Han , Jueun Shin , Jiyoon Han , Bung-Woo Jun , Hilal Ayan Karabatman

Large language models (LLMs) are currently at the forefront of intertwining AI systems with human communication and everyday life. Therefore, it is of great importance to evaluate their emerging abilities. In this study, we show that LLMs…

计算与语言 · 计算机科学 2023-10-10 Thilo Hagendorff , Sarah Fabi , Michal Kosinski

Large Language Models (LLMs) have demonstrated exceptional capabilities in solving various tasks, progressively evolving into general-purpose assistants. The increasing integration of LLMs into society has sparked interest in whether they…

计算与语言 · 计算机科学 2025-10-20 Yuan Li , Yue Huang , Hongyi Wang , Ying Cheng , Xiangliang Zhang , James Zou , Lichao Sun

Large Language Models (LLMs) are able to provide assistance on a wide range of information-seeking tasks. However, model outputs may be misleading, whether unintentionally or in cases of intentional deception. We investigate the ability of…

计算与语言 · 计算机科学 2024-07-17 Betty Li Hou , Kejian Shi , Jason Phang , James Aung , Steven Adler , Rosie Campbell

The deployment of large language models (LLMs) raises concerns regarding their cultural misalignment and potential ramifications on individuals and societies with diverse cultural backgrounds. While the discourse has focused mainly on…

计算机与社会 · 计算机科学 2024-05-09 Reem I. Masoud , Ziquan Liu , Martin Ferianc , Philip Treleaven , Miguel Rodrigues

The rapid evolution of large language models (LLMs) has fuelled enthusiasm about their role in advancing scientific discovery, with studies exploring LLMs that autonomously generate and evaluate novel research ideas. However, little…

计算与语言 · 计算机科学 2026-01-28 Zahra Hashemi , Zhiqiang Zhong , Jun Pang , Wei Zhao

Large Language Models (LLMs) have achieved unparalleled success across diverse language modeling tasks in recent years. However, this progress has also intensified ethical concerns, impacting the deployment of LLMs in everyday contexts.…

With the development of Large Language Models (LLMs) in consulting, their role in moral decision-making has become prominent. However, existing research predominantly consider AI as an independent "moral agent" adhering to the "Human-AI…

社会与信息网络 · 计算机科学 2026-03-24 Yangyi Wu , Tianqi Wang , Xilin Liu

The pervasive use of AI applications is increasingly influencing our everyday decisions. However, the ethical challenges associated with AI transcend conventional ethics and single-discipline approaches. In this paper, we propose…

人机交互 · 计算机科学 2024-04-23 Lizhi Ma , Tong Zhao , Huachuan Qiu , Zhenzhong Lan

As Large Language Models (LLMs) become widely used to model and simulate human behavior, understanding their biases becomes critical. We developed an experimental framework using Big Five personality surveys and uncovered a previously…

Large language models (LLMs) exhibit strikingly conflicting behaviors: they can appear steadfastly overconfident in their initial answers whilst at the same time being prone to excessive doubt when challenged. To investigate this apparent…

Large language models (LLMs), such as ChatGPT, have rapidly penetrated into people's work and daily lives over the past few years, due to their extraordinary conversational skills and intelligence. ChatGPT has become the fastest-growing…

计算与语言 · 计算机科学 2024-09-04 Wenxuan Wang

Large Language Models (LLMs) have made unprecedented breakthroughs, yet their increasing integration into everyday life might raise societal risks due to generated unethical content. Despite extensive study on specific issues like bias, the…

计算与语言 · 计算机科学 2024-03-05 Shitong Duan , Xiaoyuan Yi , Peng Zhang , Tun Lu , Xing Xie , Ning Gu

Large Language Models (LLMs) such as ChatGPT, have gained significant attention due to their impressive natural language processing capabilities. It is crucial to prioritize human-centered principles when utilizing these models.…

计算与语言 · 计算机科学 2023-06-21 Yue Huang , Qihui Zhang , Philip S. Y , Lichao Sun