7 citations · 10 across the 4 of their papers we have counts for
Showing cs.SEShow all
3 papers · 1 filter
cs.SE2024
When to Stop? Towards Efficient Code Generation in LLMs with Excess Token Prevention
Lianghong Guo, Yanlin Wang, Ensheng Shi +6
Code generation aims to automatically generate code snippets that meet given natural language requirements and plays an important role in software development. Although Code LLMs h…
cs.SE2024★ 3 cited
RLCoder: Reinforcement Learning for Repository-Level Code Completion
Yanlin Wang, Yanli Wang, Daya Guo +4
Repository-level code completion aims to generate code for unfinished code snippets within the context of a specified repository. Existing approaches mainly rely on retrieval-augme…
cs.SE2023
Hue: A User-Adaptive Parser for Hybrid Logs
Junjielong Xu, Qiuai Fu, Zhouruixing Zhu +4
Log parsing, which extracts log templates from semi-structured logs and produces structured logs, is the first and the most critical step in automated log analysis. While existing…