-
Understanding LLMs: A Comprehensive Overview from Training to Inference (arXiv'24)
-
Evaluating Large Language Models Trained on Code- https://arxiv.org/pdf/2107.03374
-
Parameter-Efficient Transfer Learning for NLP - https://arxiv.org/abs/1902.00751
-
LoRA: Low-Rank Adaptation of Large Language Models - https://arxiv.org/abs/2106.09685
-
SysLLMatic: Large Language Models are Software System Optimizers - https://arxiv.org/pdf/2506.01249
-
DB‑GPT: Large Language Model Meets Database - https://link.springer.com/content/pdf/10.1007/s41019-023-00235-6.pdf
-
Language Models for Code Optimization: Survey, Challenges and Future Directions - https://arxiv.org/pdf/2501.01277
-
Large Language Models for Software Engineering: A Systematic Literature Review - https://dl.acm.org/doi/pdf/10.1145/3695988
-
MANTRA: Enhancing Automated Method-Level Refactoring with Contextual RAG and Multi-Agent LLM Collaboration - https://arxiv.org/pdf/2503.14340
-
An Empirical Study on the Potential of LLMs in Automated Software Refactoring - https://arxiv.org/pdf/2411.04444
-
Evaluating Large Language Models in Class-Level Code Generation - https://dl.acm.org/doi/10.1145/3597503.3639219
-
Evaluating Large Language Models for Real-World Vulnerability Repair in C/C++ Code - https://dl.acm.org/doi/pdf/10.1145/3643651.3659892
-
Exploring the Capabilities of LLMs for Code Change Related Tasks - https://arxiv.org/pdf/2407.02824
-
CODEMENV: Benchmarking Large Language Models on Code Migration - https://arxiv.org/abs/2506.00894
-
Large Language Model-Aware In-Context Learning for Code Generation - https://dl.acm.org/doi/10.1145/3715908
-
A Survey on Large Language Models for Code Generation - https://arxiv.org/pdf/2406.00515
-
Large Language Models for Software Engineering: Survey and Open Problems - https://arxiv.org/pdf/2310.03533
-
Automatically Fixing Dependency Breaking Changes - https://dl.acm.org/doi/10.1145/3729366
-
Should AI Optimize Your Code? A Comparative Study of Current Large Language Models Versus Classical Optimizing Compilers - https://arxiv.org/abs/2406.12146
- An In-depth Survey of Large Language Model-based Artificial Intelligence Agents - https://arxiv.org/pdf/2309.14365
- EXPLORING LARGE LANGUAGE MODEL BASED INTELLIGENT AGENTS: DEFINITIONS, METHODS, AND PROSPECTS - https://arxiv.org/pdf/2401.03428
- The Rise and Potential of Large Language Model --https://arxiv.org/pdf/2309.07864
- Large Language Models for Code Analysis: Do LLMs Really Do Their Job? (USENIX Security’24)--https://www.usenix.org/system/files/usenixsecurity24-fang.pdf
- Large Language Models-Aided Program Debloating--https://arxiv.org/pdf/2503.08969
- LPR: Large Language Models-Aided Program Reduction (ISSTA ’24) --https://dl.acm.org/doi/pdf/10.1145/3650212.3652126
- Integrating Artificial Intelligence into Operating Systems: A Comprehensive Survey on Techniques, Applications, and Future Directions --https://arxiv.org/html/2407.14567v2