Large language models for software engineering: A systematic literature review

X Hou, Y Zhao, Y Liu, Z Yang, K Wang, L Li… - ACM Transactions on …, 2024 - dl.acm.org
Large Language Models (LLMs) have significantly impacted numerous domains, including
Software Engineering (SE). Many recent publications have explored LLMs applied to …

Towards an understanding of large language models in software engineering tasks

Z Zheng, K Ning, Q Zhong, J Chen, W Chen… - Empirical Software …, 2025 - Springer
Abstract Large Language Models (LLMs) have drawn widespread attention and research
due to their astounding performance in text generation and reasoning tasks. Derivative …

A systematic survey and critical review on evaluating large language models: Challenges, limitations, and recommendations

MTR Laskar, S Alqahtani, MS Bari… - Proceedings of the …, 2024 - aclanthology.org
Abstract Large Language Models (LLMs) have recently gained significant attention due to
their remarkable capabilities in performing diverse tasks across various domains. However …

If llm is the wizard, then code is the wand: A survey on how code empowers large language models to serve as intelligent agents

K Yang, J Liu, J Wu, C Yang, YR Fung, S Li… - arxiv preprint arxiv …, 2024 - arxiv.org
The prominent large language models (LLMs) of today differ from past language models not
only in size, but also in the fact that they are trained on a combination of natural language …

What's Wrong with Your Code Generated by Large Language Models? An Extensive Study

S Dou, H Jia, S Wu, H Zheng, W Zhou, M Wu… - arxiv preprint arxiv …, 2024 - arxiv.org
The increasing development of large language models (LLMs) in code generation has
drawn significant attention among researchers. To enhance LLM-based code generation …

[HTML][HTML] Large language models meet next-generation networking technologies: A review

CN Hang, PD Yu, R Morabito, CW Tan - Future Internet, 2024 - mdpi.com
The evolution of network technologies has significantly transformed global communication,
information sharing, and connectivity. Traditional networks, relying on static configurations …

MCQGen: A large language model-driven MCQ generator for personalized learning

CN Hang, CW Tan, PD Yu - IEEE Access, 2024 - ieeexplore.ieee.org
In the dynamic landscape of contemporary education, the evolution of teaching strategies
such as blended learning and flipped classrooms has highlighted the need for efficient and …

BioCoder: a benchmark for bioinformatics code generation with large language models

X Tang, B Qian, R Gao, J Chen, X Chen… - …, 2024 - academic.oup.com
Pretrained large language models (LLMs) have significantly improved code generation. As
these models scale up, there is an increasing need for the output to handle more intricate …

BioCoder: a benchmark for bioinformatics code generation with contextual pragmatic knowledge

X Tang, B Qian, R Gao, J Chen, X Chen… - arxiv preprint arxiv …, 2023 - arxiv.org
Pre-trained language models like ChatGPT have significantly improved code generation. As
these models scale up, there is an increasing need for the output to handle more intricate …

[HTML][HTML] An overview of recent advancements in hyperspectral imaging in the egg and hatchery industry

MW Ahmed, A Khaliduzzaman, JL Emmert… - … and Electronics in …, 2025 - Elsevier
Conventional egg quality analysis and compliance monitoring methods have inherent
limitations, necessitating non-destructive techniques in the modern egg industry …