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New framework Loc2Repair enhances LLM code repair effectiveness

By PulseAugur Editorial · [1 sources] ·

A new framework called Loc2Repair has been developed to evaluate the impact of file-level issue localization in repository-level LLM repair. This framework decouples localization and repair, allowing for controlled analysis of different components. Experiments using three repair backbones on SWE-bench Verified demonstrated that explicit file-level localization consistently improves the resolution rate and reduces the mean elapsed time for LLM-based code repair. AI

IMPACT This framework could lead to more effective and efficient LLM-based code repair tools.

RANK_REASON The cluster contains a research paper detailing a new framework for evaluating LLM capabilities. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New framework Loc2Repair enhances LLM code repair effectiveness

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The cluster contains a research paper detailing a new framework for evaluating LLM capabilities. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Mohammad Nour Al Awad, Sergey Ivanov ·

    Loc2Repair: A Framework for Evaluating the Impact of File-Level Issue Localization in Repo-Level LLM Repair

    arXiv:2606.30963v1 Announce Type: cross Abstract: Repository-grounded automated repair is often reported as a single end-to-end capability, which hides distinct failure modes such as poor file targeting, incorrect patch synthesis, and failed iterative debugging. We present Loc2Re…

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