← authors · overview

• CCT5: A Code-Change-Oriented Pre-Trained Model
  2023 · 53 citations
• Exploring the Capabilities of LLMs for Code Change Related Tasks
  2024 · 27 citations
• CCRep: Learning Code Change Representations via Pre-Trained Code Model and Query Back
  2023 · 25 citations
• Pre-training by Predicting Program Dependencies for Vulnerability Analysis Tasks
  2024 · 13 citations
• JumpCoder: Go Beyond Autoregressive Coder via Online Modification
  2024 · 4 citations
• Improving Retrieval-Augmented Code Comment Generation by Retrieving for Generation
  2024 · 1 citations
• UniCoR: Modality Collaboration for Robust Cross-Language Hybrid Code Retrieval
  2025
• Intention Chain-of-Thought Prompting with Dynamic Routing for Code Generation
  2025
• SolContractEval: A Benchmark for Evaluating Contract-Level Solidity Code Generation
  2025
• CodeReasoner: Enhancing the Code Reasoning Ability with Reinforcement Learning
  2025
• NoCode-bench: A Benchmark for Evaluating Natural Language-Driven Feature Addition
  2025
• AdaCoder: An Adaptive Planning and Multi-Agent Framework for Function-Level Code Generation
  2025
• FGIT: Fault-Guided Fine-Tuning for Code Generation
  2025
• FlexFL: Flexible and Effective Fault Localization with Open-Source Large Language Models
  2024
• Towards More Realistic Evaluation for Neural Test Oracle Generation
  2023