SHERLOC introduces a training-free structured localization method that achieves SOTA accuracy on SWE-Bench and boosts repair agent resolve rates by 5.95 pp while reducing token use.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
SHERLOC: Structured Diagnostic Localization for Code Repair Agents
SHERLOC introduces a training-free structured localization method that achieves SOTA accuracy on SWE-Bench and boosts repair agent resolve rates by 5.95 pp while reducing token use.