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Large Language Models (LLMs) have shown excellent performance in language understanding, text generation, code synthesis, and many other tasks, while they still struggle in complex multi-step reasoning problems, such as mathematical…

Computation and Language · Computer Science 2024-06-05 Haolong Li , Yu Ma , Yinqi Zhang , Chen Ye , Jie Chen

ChatGPT is a large language model recently released by the OpenAI company. In this technical report, we explore for the first time the capability of ChatGPT for programming numerical algorithms. Specifically, we examine the capability of…

Machine Learning · Computer Science 2023-04-28 Ali Kashefi , Tapan Mukerji

Logical reasoning is a fundamental aspect of human intelligence and a key component of tasks like problem-solving and decision-making. Recent advancements have enabled Large Language Models (LLMs) to potentially exhibit reasoning…

Computation and Language · Computer Science 2023-11-13 Jiazhan Feng , Ruochen Xu , Junheng Hao , Hiteshi Sharma , Yelong Shen , Dongyan Zhao , Weizhu Chen

The recent success of large language models (LLMs) has shown great potential to develop more powerful conversational recommender systems (CRSs), which rely on natural language conversations to satisfy user needs. In this paper, we embark on…

Computation and Language · Computer Science 2024-06-21 Xiaolei Wang , Xinyu Tang , Wayne Xin Zhao , Jingyuan Wang , Ji-Rong Wen

Automated Program Repair (APR) can help developers automatically generate patches for bugs. Due to the impressive performance obtained using Large Pre-Trained Language Models (LLMs) on many code related tasks, researchers have started to…

Software Engineering · Computer Science 2023-02-01 Chunqiu Steven Xia , Lingming Zhang

The emergence of foundation models, such as large language models (LLMs) GPT-4 and text-to-image models DALL-E, has opened up numerous possibilities across various domains. People can now use natural language (i.e. prompts) to communicate…

Software Engineering · Computer Science 2023-12-21 Yu Cheng , Jieshan Chen , Qing Huang , Zhenchang Xing , Xiwei Xu , Qinghua Lu

Dialogue-based language models mark a huge milestone in the field of artificial intelligence, by their impressive ability to interact with users, as well as a series of challenging tasks prompted by customized instructions. However, the…

Artificial Intelligence · Computer Science 2023-04-26 Rui Hao , Linmei Hu , Weijian Qi , Qingliu Wu , Yirui Zhang , Liqiang Nie

Recent research has explored the creation of questions from code submitted by students. These Questions about Learners' Code (QLCs) are created through program analysis, exploring execution paths, and then creating code comprehension…

Computers and Society · Computer Science 2024-04-19 Teemu Lehtinen , Charles Koutcheme , Arto Hellas

This paper presents a comprehensive and practical guide for practitioners and end-users working with Large Language Models (LLMs) in their downstream natural language processing (NLP) tasks. We provide discussions and insights into the…

Computation and Language · Computer Science 2023-04-28 Jingfeng Yang , Hongye Jin , Ruixiang Tang , Xiaotian Han , Qizhang Feng , Haoming Jiang , Bing Yin , Xia Hu

Large Language Models (LLMs) have achieved impressive performance across various reasoning tasks. However, even state-of-the-art LLMs such as ChatGPT are prone to logical errors during their reasoning processes. Existing solutions, such as…

Computation and Language · Computer Science 2024-03-25 Chi Hu , Yuan Ge , Xiangnan Ma , Hang Cao , Qiang Li , Yonghua Yang , Tong Xiao , Jingbo Zhu

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:…

Computation and Language · Computer Science 2024-06-17 Wenhao Zhu , Hongyi Liu , Qingxiu Dong , Jingjing Xu , Shujian Huang , Lingpeng Kong , Jiajun Chen , Lei Li

Large Language Models (LLMs) have shown great potential in solving complex problems in various fields, including oil and gas engineering and other industrial engineering disciplines like factory automation, PLC programming etc. However,…

Computation and Language · Computer Science 2023-04-28 Oluwatosin Ogundare , Srinath Madasu , Nathanial Wiggins

Large language models (LLMs) like ChatGPT have shown the potential to assist developers with coding and debugging tasks. However, their role in collaborative issue resolution is underexplored. In this study, we analyzed 1,152…

Software Engineering · Computer Science 2024-12-12 Joy Krishan Das , Saikat Mondal , Chanchal K. Roy

Large language models (LLMs) are increasingly used for analytical tasks, yet their effectiveness in real-world applications remains underexamined, partly due to the opacity of proprietary models. We evaluate ChatGPT (GPT-3.5 and GPT-4) on…

Human-Computer Interaction · Computer Science 2026-03-25 Jonas Oppenlaender , Joonas Hämäläinen

Generative AIs, especially Large Language Models (LLMs) such as ChatGPT or Llama, have advanced significantly, positioning them as valuable tools for digital forensics. While initial studies have explored the potential of ChatGPT in the…

Cryptography and Security · Computer Science 2023-12-25 Gaëtan Michelet , Frank Breitinger

The rapid advancements in large language models (LLMs) have greatly expanded the potential for automated code-related tasks. Two primary methodologies are used in this domain: prompt engineering and fine-tuning. Prompt engineering involves…

Software Engineering · Computer Science 2025-02-21 Jiho Shin , Clark Tang , Tahmineh Mohati , Maleknaz Nayebi , Song Wang , Hadi Hemmati

Large Language Models (LLMs) have drawn widespread attention and research due to their astounding performance in text generation and reasoning tasks. Derivative products, like ChatGPT, have been extensively deployed and highly sought after.…

Software Engineering · Computer Science 2024-12-11 Zibin Zheng , Kaiwen Ning , Qingyuan Zhong , Jiachi Chen , Wenqing Chen , Lianghong Guo , Weicheng Wang , Yanlin Wang

Qualitative research, renowned for its in-depth exploration of complex phenomena, often involves time-intensive analysis, particularly during the coding stage. Existing software for qualitative evaluation frequently lacks automatic coding…

Human-Computer Interaction · Computer Science 2024-07-23 He Zhang , Chuhao Wu , Jingyi Xie , Fiona Rubino , Sydney Graver , ChanMin Kim , John M. Carroll , Jie Cai

Large language models (LLMs), such as ChatGPT, have received substantial attention due to their capabilities for understanding and generating human language. While there has been a burgeoning trend in research focusing on the employment of…

Upon its release in late 2022, ChatGPT has brought a seismic shift in the entire landscape of AI, both in research and commerce. Through instruction-tuning a large language model (LLM) with supervised fine-tuning and reinforcement learning…

Computation and Language · Computer Science 2024-01-17 Hailin Chen , Fangkai Jiao , Xingxuan Li , Chengwei Qin , Mathieu Ravaut , Ruochen Zhao , Caiming Xiong , Shafiq Joty