10 citations · 26 across the 8 of their papers we have counts for
8 papers
CODESKILL: Learning Self-Evolving Skills for Coding Agents
Yanzhou Li, Yiran Zhang, Xiaoyu Zhang +2
Coding agents produce rich trajectories while solving software-engineering tasks. To enable agent self-evolution, these trajectories can be distilled into reusable procedural skill…
Impact-driven Context Filtering For Cross-file Code Completion
Yanzhou Li, Shangqing Liu, Kangjie Chen +2
Retrieval-augmented generation (RAG) has recently demonstrated considerable potential for repository-level code completion, as it integrates cross-file knowledge with in-file prece…
From Context to Intent: Reasoning-Guided Function-Level Code Completion
Yanzhou Li, Tianlin Li, Yiran Zhang +4
The growing capabilities of Large Language Models (LLMs) have led to their widespread adoption for function completion within code repositories. Recent studies on such tasks show p…
BadEdit: Backdooring large language models by model editing
Yanzhou Li, Tianlin Li, Kangjie Chen +5
Mainstream backdoor attack methods typically demand substantial tuning data for poisoning, limiting their practicality and potentially degrading the overall performance when applie…
An Empirical Study on Noisy Label Learning for Program Understanding
Wenhan Wang, Yanzhou Li, Anran Li +3
Recently, deep learning models have been widely applied in program understanding tasks, and these models achieve state-of-the-art results on many benchmark datasets. A major challe…
Multi-target Backdoor Attacks for Code Pre-trained Models
Yanzhou Li, Shangqing Liu, Kangjie Chen +3
Backdoor attacks for neural code models have gained considerable attention due to the advancement of code intelligence. However, most existing works insert triggers into task-speci…
CommitBART: A Large Pre-trained Model for GitHub Commits
Shangqing Liu, Yanzhou Li, Xiaofei Xie +1
GitHub commits, which record the code changes with natural language messages for description, play a critical role for software developers to comprehend the software evolution. To…
Unveiling Project-Specific Bias in Neural Code Models
Zhiming Li, Yanzhou Li, Tianlin Li +5
Deep learning has introduced significant improvements in many software analysis tasks. Although the Large Language Models (LLMs) based neural code models demonstrate commendable pe…