AdaRepair-Mem: Adaptive Experience Orchestration for Repository-Level Program Repair
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TL;DR - AdaRepair-Mem is an adaptive memory-retrieval framework for LLM-based repository-level program repair. It improves repair by selecting relevant, high-quality experiences for each repair stage rather than simply accumulating more memories.
- Coverage-aware retrieval uses cross-repository or repair-type memories when repository-specific examples are scarce.
- Quality-aware selection ranks experiences by relevance, historical utility, specificity, and redundancy.
- Stage-aware routing separates memories for reproduction, localization, patch generation, refinement, and validation.
- Evaluations on SWE-Bench-Lite and SWE-Bench-Verified show gains for under-covered repositories, less noisy retrieval, and better failed-to-fixed patch refinement.
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AdaRepair-Mem: Adaptive Experience Orchestration for Repository-Level Program Repair
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TL;DR - AdaRepair-Mem is an adaptive memory-retrieval framework for LLM-based repository-level program repair. It improves repair by selecting relevant, high-quality experiences for each repair stage rather than simply accumulating more memories.
- Coverage-aware retrieval uses cross-repository or repair-type memories when repository-specific examples are scarce.
- Quality-aware selection ranks experiences by relevance, historical utility, specificity, and redundancy.
- Stage-aware routing separates memories for reproduction, localization, patch generation, refinement, and validation.
- Evaluations on SWE-Bench-Lite and SWE-Bench-Verified show gains for under-covered repositories, less noisy retrieval, and better failed-to-fixed patch refinement.