[HTML][HTML] A survey on large language model (llm) security and privacy: The good, the bad, and the ugly

Y Yao, J Duan, K Xu, Y Cai, Z Sun, Y Zhang - High-Confidence Computing, 2024 - Elsevier
Abstract Large Language Models (LLMs), such as ChatGPT and Bard, have revolutionized
natural language understanding and generation. They possess deep language …

[HTML][HTML] A survey of GPT-3 family large language models including ChatGPT and GPT-4

KS Kalyan - Natural Language Processing Journal, 2024 - Elsevier
Large language models (LLMs) are a special class of pretrained language models (PLMs)
obtained by scaling model size, pretraining corpus and computation. LLMs, because of their …

Large language models for software engineering: Survey and open problems

A Fan, B Gokkaya, M Harman… - 2023 IEEE/ACM …, 2023 - ieeexplore.ieee.org
This paper provides a survey of the emerging area of Large Language Models (LLMs) for
Software Engineering (SE). It also sets out open research challenges for the application of …

Software testing with large language models: Survey, landscape, and vision

J Wang, Y Huang, C Chen, Z Liu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Pre-trained large language models (LLMs) have recently emerged as a breakthrough
technology in natural language processing and artificial intelligence, with the ability to …

Starcoder 2 and the stack v2: The next generation

A Lozhkov, R Li, LB Allal, F Cassano… - arxiv preprint arxiv …, 2024 - arxiv.org
The BigCode project, an open-scientific collaboration focused on the responsible
development of Large Language Models for Code (Code LLMs), introduces StarCoder2. In …

[PDF][PDF] Large language models: a comprehensive survey of its applications, challenges, limitations, and future prospects

MU Hadi, R Qureshi, A Shah, M Irfan, A Zafar… - Authorea …, 2023 - researchgate.net
Within the vast expanse of computerized language processing, a revolutionary entity known
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …

A survey on large language models for code generation

J Jiang, F Wang, J Shen, S Kim, S Kim - arxiv preprint arxiv:2406.00515, 2024 - arxiv.org
Large Language Models (LLMs) have garnered remarkable advancements across diverse
code-related tasks, known as Code LLMs, particularly in code generation that generates …

Magis: Llm-based multi-agent framework for github issue resolution

W Tao, Y Zhou, Y Wang, W Zhang… - Advances in Neural …, 2025 - proceedings.neurips.cc
In software development, resolving the emergent issues within GitHub repositories is a
complex challenge that involves not only the incorporation of new code but also the …

A survey of large language models for code: Evolution, benchmarking, and future trends

Z Zheng, K Ning, Y Wang, J Zhang, D Zheng… - arxiv preprint arxiv …, 2023 - arxiv.org
General large language models (LLMs), represented by ChatGPT, have demonstrated
significant potential in tasks such as code generation in software engineering. This has led …

Refining chatgpt-generated code: Characterizing and mitigating code quality issues

Y Liu, T Le-Cong, R Widyasari… - ACM Transactions on …, 2024 - dl.acm.org
Since its introduction in November 2022, ChatGPT has rapidly gained popularity due to its
remarkable ability in language understanding and human-like responses. ChatGPT, based …