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• Comparison of Static Application Security Testing Tools and Large Language Models for Repo-level Vulnerability Detection
  2024 · 4 citations
• EnseSmells: Deep ensemble and programming language models for automated code smells detection
  2025 · 3 citations
• CodeWiki: Evaluating AI's Ability to Generate Holistic Documentation for Large-Scale Codebases
  2025 · 1 citations
• A Survey of LLM-based Automated Program Repair: Taxonomies, Design Paradigms, and Applications
  2025 · 1 citations
• PatchGuru: Patch Oracle Inference from Natural Language Artifacts with Large Language Models
  2026
• Do Not Treat Code as Natural Language: Implications for Repository-Level Code Generation and Beyond
  2026
• Perish or Flourish? A Holistic Evaluation of Large Language Models for Code Generation in Functional Programming
  2026
• A Systematic Survey on Debugging Techniques for Machine Learning Systems
  2025
• Enhancing repository-level software repair via repository-aware knowledge graphs
  2025
• Unlocking LLM Repair Capabilities Through Cross-Language Translation and Multi-Agent Refinement
  2025
• Memory-Efficient Large Language Models for Program Repair with Semantic-Guided Patch Generation
  2024
• When Fine-Tuning LLMs Meets Data Privacy: An Empirical Study of Federated Learning in LLM-Based Program Repair
  2024