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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,…

Recent advancements in Large Language Models (LLMs) have demonstrated significant potential across a wide range of software engineering tasks, including software design, an area traditionally regarded as highly dependent on human expertise…

Software Engineering · Computer Science 2026-05-05 Yifei Wang , Ruiyin Li , Peng Liang , Yangxiao Cai , Zengyang Li , Mojtaba Shahin , Arif Ali Khan , Qiong Feng

Large language models (LLMs) have demonstrated unparalleled prowess in mimicking human-like text generation and processing. Among the myriad of applications that benefit from LLMs, automated code generation is increasingly promising. The…

Software Engineering · Computer Science 2023-11-15 Lincoln Murr , Morgan Grainger , David Gao

Our everyday lives now heavily rely on artificial intelligence (AI) powered large language models (LLMs). Like regular users, programmers are also benefiting from the newest large language models. In response to the critical role that AI…

Software Engineering · Computer Science 2024-11-15 Md Kamrul Siam , Huanying Gu , Jerry Q. Cheng

Evaluating the capabilities of Large Language Models (LLMs) to assist teachers and students in educational tasks is receiving increasing attention. In this paper, we assess ChatGPT's capacities to solve and grade real programming exams,…

Artificial Intelligence · Computer Science 2025-03-21 Pablo Saborido-Fernández , Marcos Fernández-Pichel , David E. Losada

Interest in Large Language Models (LLMs) has increased drastically since the emergence of ChatGPT and the outstanding positive societal response to the ease with which it performs tasks in Natural Language Processing (NLP). The triumph of…

Computation and Language · Computer Science 2023-04-06 Oluwatosin Ogundare , Gustavo Quiros Araya

Recently, the flourishing large language models(LLM), especially ChatGPT, have shown exceptional performance in language understanding, reasoning, and interaction, attracting users and researchers from multiple fields and domains. Although…

Computer Vision and Pattern Recognition · Computer Science 2024-01-18 Haonan Guo , Xin Su , Chen Wu , Bo Du , Liangpei Zhang , Deren Li

Recent development of large language models (LLMs), such as ChatGPT has been widely applied to a wide range of software engineering tasks. Many papers have reported their analysis on the potential advantages and limitations of ChatGPT for…

Software Engineering · Computer Science 2023-09-18 Priyanka Mudgal , Rita Wouhaybi

Can safety analysis make use of Large Language Models (LLMs)? A case study explores Systems Theoretic Process Analysis (STPA) applied to Automatic Emergency Brake (AEB) and Electricity Demand Side Management (DSM) systems using ChatGPT. We…

Computation and Language · Computer Science 2025-02-14 Yi Qi , Xingyu Zhao , Siddartha Khastgir , Xiaowei Huang

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…

Quantitative Methods · Quantitative Biology 2024-02-22 Hengchuang Yin , Zhonghui Gu , Fanhao Wang , Yiparemu Abuduhaibaier , Yanqiao Zhu , Xinming Tu , Xian-Sheng Hua , Xiao Luo , Yizhou Sun

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,…

Software Engineering · Computer Science 2024-01-09 Zibin Zheng , Kaiwen Ning , Yanlin Wang , Jingwen Zhang , Dewu Zheng , Mingxi Ye , Jiachi Chen

Achieving consensus in group decision-making often involves overcoming significant challenges, particularly in reconciling diverse perspectives and mitigating biases that hinder agreement. Traditional methods relying on human facilitators…

Human-Computer Interaction · Computer Science 2025-03-21 Loukas Triantafyllopoulos , Dimitris Kalles

Large Language Models (LLMs) have advanced rapidly as tools for automating code generation in scientific research, yet their ability to interpret and use unfamiliar Python APIs for complex computational experiments remains poorly…

Software Engineering · Computer Science 2025-09-17 Nuno Fachada , Daniel Fernandes , Carlos M. Fernandes , Bruno D. Ferreira-Saraiva , João P. Matos-Carvalho

This work investigated the capabilities of different models, including the Llama-3 series of models and CHATGPT, with different forms of expression in solving discrete optimization problems by testing natural language datasets. In contrast…

Artificial Intelligence · Computer Science 2026-03-10 Tianhao Qian , Guilin Qi , Z. Y. Wu , Ran Gu , Xuanyi Liu , Canchen Lyu

Pretrained large language models (LLMs) are widely used in many sub-fields of natural language processing (NLP) and generally known as excellent few-shot learners with task-specific exemplars. Notably, chain of thought (CoT) prompting, a…

Computation and Language · Computer Science 2023-01-31 Takeshi Kojima , Shixiang Shane Gu , Machel Reid , Yutaka Matsuo , Yusuke Iwasawa

While there has been a lot of research recently on robots in household environments, at the present time, most robots in existence can be found on shop floors, and most interactions between humans and robots happen there. ``Collaborative…

Computation and Language · Computer Science 2025-09-09 Chalamalasetti Kranti , Sherzod Hakimov , David Schlangen

AI-supported programming has taken giant leaps with tools such as Meta's Llama and openAI's chatGPT. These are examples of stochastic sources of programs and have already greatly influenced how we produce code and teach programming. If we…

Computation and Language · Computer Science 2024-07-09 Jon Sporring , Ken Friis Larsen

Large language model (LLM) applications, such as ChatGPT, are a powerful tool for online information-seeking (IS) and problem-solving tasks. However, users still face challenges initializing and refining prompts, and their cognitive…

Human-Computer Interaction · Computer Science 2024-02-12 Ben Wang , Jiqun Liu , Jamshed Karimnazarov , Nicolas Thompson

Leveraging large language models (LLMs) for various natural language processing tasks has led to superlative claims about their performance. For the evaluation of machine translation (MT), existing research shows that LLMs are able to…

Computation and Language · Computer Science 2024-10-10 Shenbin Qian , Archchana Sindhujan , Minnie Kabra , Diptesh Kanojia , Constantin Orăsan , Tharindu Ranasinghe , Frédéric Blain

Meta-analyses statistically aggregate the findings of different randomized controlled trials (RCTs) to assess treatment effectiveness. Because this yields robust estimates of treatment effectiveness, results from meta-analyses are…

Computation and Language · Computer Science 2024-07-26 Hye Sun Yun , David Pogrebitskiy , Iain J. Marshall , Byron C. Wallace