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Large language models (LLMs) have demonstrated remarkable capabilities in various natural language processing tasks. However, achieving strong performance in specialized domains like mathematical reasoning and non-English languages often…

计算与语言 · 计算机科学 2025-03-19 Huy Hoang Ha

Recent advancements in Large Language Models (LLMs) have significantly expanded the capabilities of artificial intelligence in natural language processing tasks. Despite this progress, their performance in specialized domains such as…

计算与语言 · 计算机科学 2025-11-19 Cayo Viegas , Rohit Gheyi , Márcio Ribeiro

Security code review is a time-consuming and labor-intensive process typically requiring integration with automated security defect detection tools. However, existing security analysis tools struggle with poor generalization, high false…

软件工程 · 计算机科学 2026-05-12 Jiaxin Yu , Peng Liang , Yujia Fu , Amjed Tahir , Mojtaba Shahin , Chong Wang , Yangxiao Cai

Large Language Models (LLMs) have demonstrated exceptional natural language understanding abilities and have excelled in a variety of natural language processing (NLP)tasks in recent years. Despite the fact that most LLMs are trained…

计算与语言 · 计算机科学 2023-10-25 Xiang Zhang , Senyu Li , Bradley Hauer , Ning Shi , Grzegorz Kondrak

Online Large Language Model (LLM) services such as ChatGPT and Claude 3 have transformed business operations and academic research by effortlessly enabling new opportunities. However, due to data-sharing restrictions, sectors such as…

性能 · 计算机科学 2025-09-23 Wenbo Sun , Jiaqi Wang , Qiming Guo , Ziyu Li , Wenlu Wang , Rihan Hai

Large language models (LLMs) such as ChatGPT have gained considerable interest across diverse research communities. Their notable ability for text completion and generation has inaugurated a novel paradigm for language-interfaced problem…

While Large Language Models (LLMs) achieve near-human performance on standard benchmarks, their capabilities often fail to generalize to complex, real-world problems. To bridge this gap, we introduce DeepQuestion, a scalable, automated…

Since the release of ChatGPT in November 2022, large language models (LLMs) have seen considerable success, including in the open-source community, with many open-weight models available. However, the requirements to deploy such a service…

性能 · 计算机科学 2025-06-13 Yannis Bendi-Ouis , Dan Dutartre , Xavier Hinaut

Prompting methods play a crucial role in enhancing the capabilities of pre-trained large language models (LLMs). We explore how contrastive prompting (CP) significantly improves the ability of large language models to perform complex…

计算与语言 · 计算机科学 2026-03-06 Liang Yao

In recent years, the development of Large Language Models (LLMs) has made significant breakthroughs in the field of natural language processing and has gradually been applied to the field of humanities and social sciences research. LLMs…

计算机与社会 · 计算机科学 2025-04-16 Peiran Gu , Fuhao Duan , Wenhao Li , Bochen Xu , Ying Cai , Teng Yao , Chenxun Zhuo , Tianming Liu , Bao Ge

Recently, large language models (LLM) based generative AI has been gaining momentum for their impressive high-quality performances in multiple domains, particularly after the release of the ChatGPT. Many believe that they have the potential…

软件工程 · 计算机科学 2024-02-22 Wei Wang , Huilong Ning , Gaowei Zhang , Libo Liu , Yi Wang

The development of highly fluent large language models (LLMs) has prompted increased interest in assessing their reasoning and problem-solving capabilities. We investigate whether several LLMs can solve a classic type of deductive reasoning…

计算与语言 · 计算机科学 2024-04-16 Spencer M. Seals , Valerie L. Shalin

General large language models (LLMs), represented by ChatGPT, have demonstrated significant potential in tasks such as code generation in software engineering. This has led to the development of specialized LLMs for software engineering,…

软件工程 · 计算机科学 2024-01-09 Zibin Zheng , Kaiwen Ning , Yanlin Wang , Jingwen Zhang , Dewu Zheng , Mingxi Ye , Jiachi Chen

Large language models (LLMs) such as ChatGPT and GPT-4 have shown impressive performance in complex reasoning tasks. However, it is difficult to know whether the models are reasoning based on deep understandings of truth and logic, or…

计算与语言 · 计算机科学 2023-10-11 Boshi Wang , Xiang Yue , Huan Sun

Employers increasingly expect graduates to utilize large language models (LLMs) in the workplace, yet the competencies needed for computing roles across Africa remain unclear given varying national contexts. This study examined how six…

计算机与社会 · 计算机科学 2026-02-02 Precious Eze , Stephanie Lunn , Bruk Berhane

Large Language Models (LLMs) are increasingly used in circuit design tasks and have typically undergone multiple rounds of training. Both the trained models and their associated training data are considered confidential intellectual…

人工智能 · 计算机科学 2025-07-23 Dong Ben , Hui Feng , Qian Wang

Large Language Models (LLMs) demonstrate strong conversational abilities. In this Working Paper, we study them in the context of debating in two ways: their ability to perform in a structured debate along with a dataset of arguments to use…

信息检索 · 计算机科学 2025-07-15 Anthony Miyaguchi , Conor Johnston , Aaryan Potdar

Generative artificial intelligence (AI) offers potential for democratizing scientific knowledge and converting this to clear, actionable information, yet its application in agri-food science remains unexplored. Here, we verify the…

人工智能 · 计算机科学 2025-12-15 Kris A. G. Wyckhuys

Large language models have gained considerable interest for their impressive performance on various tasks. Within this domain, ChatGPT and GPT-4, developed by OpenAI, and the Gemini, developed by Google, have emerged as particularly popular…

计算与语言 · 计算机科学 2024-05-29 Aryan Rangapur , Aman Rangapur

This study presents a comprehensive empirical evaluation of six state-of-the-art large language models (LLMs) for code generation, including both general-purpose and code-specialized models. Using a dataset of 944 real-world LeetCode…

软件工程 · 计算机科学 2025-12-23 Le Zhang , Suresh Kothari