6 papers
MRCoder: An Efficient Context Selecting Approach for Repository-Level Code Generation
Peiding Wang, Li Zhang, Fang Liu
The paper introduces MRCoder, a map-reduce based framework that selects and refines repository-specific code context using lightweight draft models, improving the accuracy and effi…
CodeSpec: Dual Executable Specifications for Agentic Long-Horizon Feature Development
Peiding Wang, Li Zhang, Fang Liu +2
The paper introduces CodeSpec, a method that creates paired architecture and behavior specifications to guide LLM-based code agents in developing new features across existing codeb…
ContraFix: Skill-Enhanced Contrastive Runtime Analysis for Vulnerability Repair
Simiao Liu, Fang Liu, Peiding Wang +4
As software systems grow increasingly complex, automated vulnerability repair (AVR) remains difficult because the materials available to a repair system are usually failure artifac…
CodeMEM: AST-Guided Adaptive Memory for Repository-Level Iterative Code Generation
Peiding Wang, Li Zhang, Fang Liu +2
Large language models (LLMs) substantially enhance developer productivity in repository-level code generation through interactive collaboration. However, as interactions progress,…
CodeIF-Bench: Evaluating Instruction-Following Capabilities of Large Language Models in Interactive Code Generation
Peiding Wang, Li Zhang, Fang Liu +4
Large Language Models (LLMs) have demonstrated exceptional performance in code generation tasks and have become indispensable programming assistants for developers. However, existi…
EfficientEdit: Accelerating Code Editing via Edit-Oriented Speculative Decoding
Peiding Wang, Li Zhang, Fang Liu +7
Large Language Models (LLMs) have demonstrated remarkable capabilities in code editing, substantially enhancing software development productivity. However, the inherent complexity…