English
Related papers

Related papers: On the Effectiveness of Large Language Models in D…

200 papers

Large Language Models (LLMs) are advanced Artificial Intelligence (AI) systems that have undergone extensive training using large datasets in order to understand and produce language that closely resembles that of humans. These models have…

Software Engineering · Computer Science 2023-08-10 Alessio Buscemi

Large language models (LLMs) have demonstrated notable proficiency in code generation, with numerous prior studies showing their promising capabilities in various development scenarios. However, these studies mainly provide evaluations in…

Software Engineering · Computer Science 2024-03-19 Kailun Jin , Chung-Yu Wang , Hung Viet Pham , Hadi Hemmati

Large language models (LLMs), such as ChatGPT and Copilot, are transforming software development by automating code generation and, arguably, enable rapid prototyping, support education, and boost productivity. Therefore, correctness and…

Software Engineering · Computer Science 2024-08-30 Robin Beer , Alexander Feix , Tim Guttzeit , Tamara Muras , Vincent Müller , Maurice Rauscher , Florian Schäffler , Welf Löwe

Large language models (LLMs)such as ChatGPT have significantly advanced the field of Natural Language Processing (NLP). This trend led to the development of code-based large language models such as StarCoder, WizardCoder, and CodeLlama,…

Software Engineering · Computer Science 2024-11-08 Le Chen , Arijit Bhattacharjee , Nesreen Ahmed , Niranjan Hasabnis , Gal Oren , Vy Vo , Ali Jannesari

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

Large Language Models (LLMs) have demonstrated their remarkable capabilities in numerous fields. This survey focuses on how LLMs empower users, regardless of their technical background, to use human languages to automatically generate…

Software Engineering · Computer Science 2025-04-03 Nam Huynh , Beiyu Lin

Large language models (LLMs) can be used to support software development tasks, e.g., through code completion or code generation. However, their effectiveness drops significantly when considering less popular programming languages such as…

Software Engineering · Computer Science 2026-03-06 David Delgado , Lola Burgueño , Robert Clarisó

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

Developing domain models is one of the few remaining places that require manual human labor in AI planning. Thus, in order to make planning more accessible, it is desirable to automate the process of domain model generation. To this end, we…

Computation and Language · Computer Science 2024-05-14 James Oswald , Kavitha Srinivas , Harsha Kokel , Junkyu Lee , Michael Katz , Shirin Sohrabi

Large language models (LLMs) like GitHub Copilot and ChatGPT have emerged as powerful tools for code generation, significantly enhancing productivity and accelerating software development. However, existing benchmarks primarily focus on…

Software Engineering · Computer Science 2024-09-27 Yixi Wu , Pengfei He , Zehao Wang , Shaowei Wang , Yuan Tian , Tse-Hsun Chen

Although Large Language Models (LLMs) have demonstrated remarkable code-generation ability, they still struggle with complex tasks. In real-world software development, humans usually tackle complex tasks through collaborative teamwork, a…

Software Engineering · Computer Science 2024-05-14 Yihong Dong , Xue Jiang , Zhi Jin , Ge Li

With the rapid advancement of large language models (LLMs), extensive research has been conducted to investigate the code generation capabilities of LLMs. However, existing efforts primarily focus on general-domain tasks, leaving LLMs' code…

Software Engineering · Computer Science 2025-03-18 Dewu Zheng , Yanlin Wang , Ensheng Shi , Xilin Liu , Yuchi Ma , Hongyu Zhang , Zibin Zheng

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

In recent years, large language models (LLMs) have emerged as powerful tools with potential applications in various fields, including software engineering. Within the scope of this research, we evaluate five different state-of-the-art LLMs…

Computation and Language · Computer Science 2024-09-09 Luis Mayer , Christian Heumann , Matthias Aßenmacher

Large language models (LLMs) have shown impressive capabilities in code generation. However, because most LLMs are trained on public domain corpora, directly applying them to real-world software development often yields low success rates,…

Artificial Intelligence · Computer Science 2026-03-26 Shuai Wang , Dhasarathy Parthasarathy , Robert Feldt , Yinan Yu

Large language models (LLMs) have revolutionized code generation, automating programming with remarkable efficiency. However, these advancements challenge programming skills, ethics, and assessment integrity, making the detection of…

Computation and Language · Computer Science 2025-07-18 Daniil Orel , Dilshod Azizov , Preslav Nakov

The programming capabilities of large language models (LLMs) have revolutionized automatic code generation and opened new avenues for automatic statistical analysis. However, the validity and quality of these generated codes need to be…

Large language models (LLMs), such as Codex and GPT-4, have recently showcased their remarkable code generation abilities, facilitating a significant boost in coding efficiency. This paper will delve into utilizing LLMs for code generation…

Software Engineering · Computer Science 2023-07-31 Daoguang Zan , Bei Chen , Yongshun Gong , Junzhi Cao , Fengji Zhang , Bingchao Wu , Bei Guan , Yilong Yin , Yongji Wang

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

This paper explores the use of Large Language Models (LLMs) and in particular ChatGPT in programming, source code analysis, and code generation. LLMs and ChatGPT are built using machine learning and artificial intelligence techniques, and…

Software Engineering · Computer Science 2023-06-12 Ahmed R. Sadik , Antonello Ceravola , Frank Joublin , Jibesh Patra
‹ Prev 1 2 3 10 Next ›