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Cultural backgrounds shape individuals' perspectives and approaches to problem-solving. Since the emergence of GPT-1 in 2018, large language models (LLMs) have undergone rapid development. To date, the world's ten leading LLM developers are…

计算与语言 · 计算机科学 2026-01-08 Feiyan Liu , Siyan Zhao , Chenxun Zhuo , Tianming Liu , Bao Ge

With the rapid popularity of large language models such as ChatGPT and GPT-4, a growing amount of attention is paid to their safety concerns. These models may generate insulting and discriminatory content, reflect incorrect social values,…

计算与语言 · 计算机科学 2023-04-21 Hao Sun , Zhexin Zhang , Jiawen Deng , Jiale Cheng , Minlie Huang

Recent advances in large language models (LLMs) have led to substantial progress in domain-specific applications, particularly within the legal domain. However, general-purpose models such as GPT-4 often struggle with specialized subdomains…

人工智能 · 计算机科学 2026-01-16 Zixun Lan , Maochun Xu , Yifan Ren , Rui Wu , Jianghui Zhou , Xueyang Cheng , Jianan Ding Ding , Xinheng Wang , Mingmin Chi , Fei Ma

$\textbf{Objectives}$: Large Language Models (LLMs) such as ChatGPT and Med-PaLM have excelled in various medical question-answering tasks. However, these English-centric models encounter challenges in non-English clinical settings,…

计算与语言 · 计算机科学 2024-01-31 Jiageng Wu , Xian Wu , Zhaopeng Qiu , Minghui Li , Yingying Zhang , Yefeng Zheng , Changzheng Yuan , Jie Yang

The success of ChatGPT validates the potential of large language models (LLMs) in artificial general intelligence (AGI). Subsequently, the release of LLMs has sparked the open-source community's interest in instruction-tuning, which is…

计算与语言 · 计算机科学 2023-10-23 Qingyi Si , Tong Wang , Zheng Lin , Xu Zhang , Yanan Cao , Weiping Wang

Large Language Models(LLMs) have demonstrated remarkable performance across various natural language processing tasks; however, how to comprehensively and accurately assess their performance becomes an urgent issue to be addressed. This…

计算与语言 · 计算机科学 2024-02-27 Xiaotian Zhang , Chunyang Li , Yi Zong , Zhengyu Ying , Liang He , Xipeng Qiu

The release of top-performing open-weight LLMs has cemented China's role as a leading force in AI development. Do these models support languages spoken in China? Or do they support the same languages as models developed in the United States…

计算与语言 · 计算机科学 2026-05-18 Andrea W Wen-Yi , Unso Eun Seo Jo , David Mimno

This study explores the application of Large Language Models (LLMs), specifically GPT-4, in the analysis of classroom dialogue, a crucial research task for both teaching diagnosis and quality improvement. Recognizing the knowledge-intensive…

计算与语言 · 计算机科学 2024-10-08 Yun Long , Haifeng Luo , Yu Zhang

We introduce ChatGLM, an evolving family of large language models that we have been developing over time. This report primarily focuses on the GLM-4 language series, which includes GLM-4, GLM-4-Air, and GLM-4-9B. They represent our most…

This study is a pioneering endeavor to investigate the capabilities of Large Language Models (LLMs) in addressing conceptual questions within the domain of mechanical engineering with a focus on mechanics. Our examination involves a…

In this study, we introduce CT-LLM, a 2B large language model (LLM) that illustrates a pivotal shift towards prioritizing the Chinese language in developing LLMs. Uniquely initiated from scratch, CT-LLM diverges from the conventional…

Language is essentially a complex, intricate system of human expressions governed by grammatical rules. It poses a significant challenge to develop capable AI algorithms for comprehending and grasping a language. As a major approach,…

In recent times, the grandeur of Large Language Models (LLMs) has not only shone in the realm of natural language processing but has also cast its brilliance across a vast array of applications. This remarkable display of LLM capabilities…

计算与语言 · 计算机科学 2024-03-22 Hanieh Alipour , Nick Pendar , Kohinoor Roy

Large language models (LLMs) have demonstrated remarkable potential in handling multilingual machine translation (MMT). In this paper, we systematically investigate the advantages and challenges of LLMs for MMT by answering two questions:…

计算与语言 · 计算机科学 2024-06-17 Wenhao Zhu , Hongyi Liu , Qingxiu Dong , Jingjing Xu , Shujian Huang , Lingpeng Kong , Jiajun Chen , Lei Li

Large Language Models (LLMs) have emerged as powerful tools for generating human-like text, transforming human-machine interactions. However, their widespread adoption has raised concerns about their potential to influence public opinion…

计算机与社会 · 计算机科学 2025-03-24 Andre G. C. Pacheco , Athus Cavalini , Giovanni Comarela

This paper explores the efficacy of large language models (LLMs) for Persian. While ChatGPT and consequent LLMs have shown remarkable performance in English, their efficiency for more low-resource languages remains an open question. We…

Recent efforts have evaluated large language models (LLMs) in areas such as commonsense reasoning, mathematical reasoning, and code generation. However, to the best of our knowledge, no work has specifically investigated the performance of…

计算与语言 · 计算机科学 2024-05-17 Xuanfan Ni , Piji Li

The recent progress of large language models (LLMs), including ChatGPT and GPT-4, in comprehending and responding to human instructions has been remarkable. Nevertheless, these models typically perform better in English and have not been…

计算与语言 · 计算机科学 2023-04-18 Honglin Xiong , Sheng Wang , Yitao Zhu , Zihao Zhao , Yuxiao Liu , Linlin Huang , Qian Wang , Dinggang Shen

The deployment of large language models (LLMs) in diverse applications requires a thorough understanding of their decision-making strategies and behavioral patterns. As a supplement to a recent study on the behavioral Turing test, this…

人工智能 · 计算机科学 2024-12-18 Yutong Xie , Yiyao Liu , Zhuang Ma , Lin Shi , Xiyuan Wang , Walter Yuan , Matthew O. Jackson , Qiaozhu Mei

The deployment of Large Language Models (LLMs) in real-world applications presents both opportunities and challenges, particularly in multilingual and code-mixed communication settings. This research evaluates the performance of seven…

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