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• LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning
  2024 · 19 citations
• Exploring Code Analysis: Zero-Shot Insights on Syntax and Semantics with LLMs
  2023 · 17 citations
• Open-Source AI-based SE Tools: Opportunities and Challenges of Collaborative Software Learning
  2024 · 8 citations
• Unveiling Code Pre-Trained Models: Investigating Syntax and Semantics Capacities
  2022 · 5 citations
• Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with Justifications
  2024 · 5 citations
• Evaluating Large Language Models for Line-Level Vulnerability Localization
  2024 · 3 citations
• GraphCode2Vec: Generic Code Embedding via Lexical and Program Dependence Analyses
  2021 · 2 citations
• Towards Secure Program Partitioning for Smart Contracts with LLM's In-Context Learning
  2025 · 1 citations
• Strengthening Programming Comprehension in Large Language Models through Code Generation
  2025
• Beyond Final Code: A Process-Oriented Error Analysis of Software Development Agents in Real-World GitHub Scenarios
  2025
• An Empirical Study on Noisy Label Learning for Program Understanding
  2023
• CKGFuzzer: LLM-Based Fuzz Driver Generation Enhanced By Code Knowledge Graph
  2024