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license: apache-2.0
language:
- en
base_model:
- meta-llama/CodeLlama-7b-Instruct-hf
pipeline_tag: text-generation
tags:
- code
---
### **introduction**
How to conduct adaptive bug fixing and generate patches with minimal modifications have seldom been investigated. To bridge this gap, we first introduce a novel task,
namely AdaPR (Adaptive Program Repair). We then propose a two-stage approach **AdaPatcher** (Adaptive Patch Generator) to enhance program repair while maintaining the
consistency. In the first stage, we utilize a Bug Locator with self-debug learning to accurately pinpoint bug locations. In the second stage, we train a Program Modifier to ensure consistency between the post-modified fixed code and the premodified buggy code. The Program Modifier is enhanced
with a location-aware repair learning strategy to generate patches based on identified buggy lines, a hybrid training strategy for selective reference and an adaptive preference
learning to prioritize fewer changes.
### **code link**
https://github.com/zhenlongDai/AdaPatcher
### **citation**
```
@article{dai2025less,
title={Less is More: Adaptive Program Repair with Bug Localization and Preference Learning},
author={Dai, Zhenlong and Chen, Bingrui and Zhao, Zhuoluo and Tang, Xiu and Wu, Sai and Yao, Chang and Gao, Zhipeng and Chen, Jingyuan},
journal={arXiv preprint arXiv:2503.06510},
year={2025}
}
``` |