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Paper · arXiv

AdaRepair-Mem: Adaptive Experience Orchestration for Repository-Level Program Repair

Recent memory-augmented repository-level program repair methods reuse historical repair experiences to improve LLM-based issue resolution. However, our analysis reveals three limitations in existing repository-level memory retrieval. First, episodic memory is highly imbalanced across repositories, leaving low-resource repositories with little effective support. Second, more memory does not monotonically lead to higher repair success, suggesting that relevance, quality, and redundancy matter more than raw memory volume. Third, memory accumulation is phase-misaligned: repositories may contain many reproduction experiences but few patch or refinement experiences. To address these problems, w...

AuthorsZ. C. Luo, J. C. Guo, W. J. He et al.
Primary categorycs.SE
Published17 September 2026
Last updated at source17 September 2026
cs.SEcs.AI
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