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Code generation is one of the tasks for which the use of Large Language Models is widely adopted and highly successful. Given this popularity, there are many benchmarks dedicated to code generation that can help select the best model.…

Software Engineering · Computer Science 2026-05-12 Joanna Szych , Anne Schwerk

Large Language Model (LLM) Agents are advancing quickly, with the increasing leveraging of LLM Agents to assist in development tasks such as code generation. While LLM Agents accelerate code generation, studies indicate they may introduce…

Software Engineering · Computer Science 2026-01-30 Haoming Huang , Pongchai Jaisri , Shota Shimizu , Lingfeng Chen , Sota Nakashima , Gema Rodríguez-Pérez

Automatic programming has seen increasing popularity due to the emergence of tools like GitHub Copilot which rely on Large Language Models (LLMs). At the same time, automatically generated code faces challenges during deployment due to…

Software Engineering · Computer Science 2024-05-16 Michael R. Lyu , Baishakhi Ray , Abhik Roychoudhury , Shin Hwei Tan , Patanamon Thongtanunam

As modern science becomes increasingly data-intensive, the ability to analyze and visualize large-scale, complex datasets is critical to accelerating discovery. However, many domain scientists lack the programming expertise required to…

Software Engineering · Computer Science 2025-12-01 Apu Kumar Chakroborti , Yi Ding , Lipeng Wan

Large language models (LLMs) providing generative AI have become popular to support software engineers in creating, summarizing, optimizing, and documenting source code. It is still unknown how LLMs can support control engineers using…

Software Engineering · Computer Science 2023-05-26 Heiko Koziolek , Sten Gruener , Virendra Ashiwal

The rapid evolution of software libraries poses a considerable hurdle for code generation, necessitating continuous adaptation to frequent version updates while preserving backward compatibility. While existing code evolution benchmarks…

Artificial intelligence has, so far, largely automated routine tasks, but what does it mean for the future of work if Large Language Models (LLMs) show creativity comparable to humans? To measure the creativity of LLMs holistically, the…

Artificial Intelligence · Computer Science 2025-05-22 Luning Sun , Yuzhuo Yuan , Yuan Yao , Yanyan Li , Hao Zhang , Xing Xie , Xiting Wang , Fang Luo , David Stillwell

Large-scale language models (LLMs) have emerged as a groundbreaking innovation in the realm of question-answering and conversational agents. These models, leveraging different deep learning architectures such as Transformers, are trained on…

Software Engineering · Computer Science 2023-07-18 Fardin Ahsan Sakib , Saadat Hasan Khan , A. H. M. Rezaul Karim

Programming reliability algorithms is crucial for risk assessment in geotechnical engineering. This study explores the possibility of automating and accelerating this task using Generative AI based on Large Language Models (LLMs).…

Applications · Statistics 2025-06-25 Atma Sharma , Jie Zhang , Meng Lu , Shuangyi Wu , Baoxiang Li

Artificial Intelligence (AI) advancements have enabled the development of Large Language Models (LLMs) that can perform a variety of tasks with remarkable semantic understanding and accuracy. ChatGPT is one such LLM that has gained…

Software Engineering · Computer Science 2024-08-02 M. Mehdi Kholoosi , M. Ali Babar , Roland Croft

Large Language Models (LLMs) are gaining momentum in software development with prompt-driven programming enabling developers to create code from natural language (NL) instructions. However, studies have questioned their ability to produce…

Software Engineering · Computer Science 2025-02-27 Catherine Tony , Nicolás E. Díaz Ferreyra , Markus Mutas , Salem Dhiff , Riccardo Scandariato

Large language models (LLMs) exhibit expert-level performance in tasks across a wide range of different domains. Ethical issues raised by LLMs and the need to align future versions makes it important to know how state of the art models…

Artificial Intelligence · Computer Science 2024-05-24 Guilherme F. C. F. Almeida , José Luiz Nunes , Neele Engelmann , Alex Wiegmann , Marcelo de Araújo

Researchers often rely on humans to code (label, annotate, etc.) large sets of texts. This kind of human coding forms an important part of social science research, yet the coding process is both resource intensive and highly variable from…

Artificial Intelligence · Computer Science 2023-06-06 Christopher Michael Rytting , Taylor Sorensen , Lisa Argyle , Ethan Busby , Nancy Fulda , Joshua Gubler , David Wingate

Large Language Models (LLMs) have shown impressive capabilities in code generation for popular programming languages. However, their performance on Low-Resource Programming Languages (LRPLs) and Domain-Specific Languages (DSLs) remains a…

Software Engineering · Computer Science 2025-09-29 Sathvik Joel , Jie JW Wu , Fatemeh H. Fard

The advent of large language models (LLMs) has paved the way for a new era of programming tools with both significant capabilities and risks, as the generated code lacks guarantees of correctness and reliability. Developers using LLMs…

Programming Languages · Computer Science 2025-01-07 Kyla H. Levin , Kyle Gwilt , Emery D. Berger , Stephen N. Freund

This paper introduces Code-Vision, a benchmark designed to evaluate the logical understanding and code generation capabilities of Multimodal Large Language Models (MLLMs). It challenges MLLMs to generate a correct program that fulfills…

Computation and Language · Computer Science 2025-02-18 Hanbin Wang , Xiaoxuan Zhou , Zhipeng Xu , Keyuan Cheng , Yuxin Zuo , Kai Tian , Jingwei Song , Junting Lu , Wenhui Hu , Xueyang Liu

Large Language Models (LLMs) like GPT-4o can help automate text classification tasks at low cost and scale. However, there are major concerns about the validity and reliability of LLM outputs. By contrast, human coding is generally more…

Computation and Language · Computer Science 2025-01-17 Conrad Borchers , Danielle R. Thomas , Jionghao Lin , Ralph Abboud , Kenneth R. Koedinger

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

Web accessibility is essential for inclusive digital experiences, yet the accessibility of LLM-generated code remains underexplored. This paper presents an empirical study comparing the accessibility of web code generated by GPT-4o and…

Software Engineering · Computer Science 2025-03-21 Hyunjae Suh , Mahan Tafreshipour , Sam Malek , Iftekhar Ahmed

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
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