215 citations · 414 across the 36 of their papers we have counts for
5 papers · 1 filter
SpecCoder: Specification-Aware Code Generation with Curriculum Dual-Task Reinforcement Learning
Yixuan Li, Mingxuan Huang, Jiajing Wang +4
Large language models (LLMs) have made substantial progress in code generation but still struggle with challenging programming tasks that require understanding rich natural languag…
Lifecycle-Aware code generation: Leveraging Software Engineering Phases in LLMs
Xing Xing, Wei Wang, Lipeng Ma +2
Recent progress in large language models (LLMs) has advanced automatic code generation, yet most approaches rely on direct, single-step translation from problem descriptions to cod…
PseudoBridge: Pseudo Code as the Bridge for Better Semantic and Logic Alignment in Code Retrieval
Yixuan Li, Xinyi Liu, Weidong Yang +4
Code retrieval aims to find relevant code snippets matching natural language queries within massive codebases, playing a vital role in software development. Recent advances leverag…
AdaptiveLog: An Adaptive Log Analysis Framework with the Collaboration of Large and Small Language Model
Lipeng Ma, Weidong Yang, Yixuan Li +6
Automated log analysis is crucial to ensure high availability and reliability of complex systems. The advent of LLMs in NLP has ushered in a new era of language model-driven automa…
LUK: Empowering Log Understanding with Expert Knowledge from Large Language Models
Lipeng Ma, Weidong Yang, Sihang Jiang +6
Logs play a critical role in providing essential information for system monitoring and troubleshooting. Recently, with the success of pre-trained language models (PLMs) and large l…