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• What Makes Good In-context Demonstrations for Code Intelligence Tasks with LLMs?
  2023 · 78 citations
• ReposVul: A Repository-Level High-Quality Vulnerability Dataset
  2024 · 28 citations
• SCALE: Constructing Structured Natural Language Comment Trees for Software Vulnerability Detection
  2024 · 16 citations
• LIVABLE: Exploring Long-Tailed Classification of Software Vulnerability Types
  2023 · 3 citations
• Meta-Path Based Attentional Graph Learning Model for Vulnerability Detection
  2022 · 2 citations
• VulEval: Towards Repository-Level Evaluation of Software Vulnerability Detection
  2024 · 2 citations
• Vulnerability Detection with Graph Simplification and Enhanced Graph Representation Learning
  2023 · 1 citations
• SWE-Fuse: Empowering Software Agents via Issue-free Trajectory Learning and Entropy-aware RLVR Training
  2026
• Vul-R2: A Reasoning LLM for Automated Vulnerability Repair
  2025
• Boosting Vulnerability Detection of LLMs via Curriculum Preference Optimization with Synthetic Reasoning Data
  2025
• EvalSVA: Multi-Agent Evaluators for Next-Gen Software Vulnerability Assessment
  2025
• Game Rewards Vulnerabilities: Software Vulnerability Detection with Zero-Sum Game and Prototype Learning
  2024
• Repository-Level Graph Representation Learning for Enhanced Security Patch Detection
  2024