AI EVALUATION, IN CONTEXT.BY EQUALITY MACHINE

Claire Radar

PatchFuseBench

PatchFuseBench is a fixed-pool benchmark for evaluating repair candidate fusion, built from existing SWE-bench Verified, SWE-bench Multilingual, and Defects4J candidate patches. The benchmark pools candidate patches for 500 bugs on SWE-bench Verified, 300 on Multilingual, and 371 on Defects4J, and evaluates methods that fuse or select a final patch.

Evidence available for this benchmark

Numeric results have not been collected for this source record. Use the paper, code or dataset below to check the task and experiments; this does not imply that the original work contains no results.

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Cited documents and dates (1)

Catalog collected on 2026-10-14; resources and fields reflect that saved source.

Evaluation context and evidence

Source
Claire Radar
Publisher
Not recorded
Benchmark release
2026-07-02
Collected
2026-10-14
Modality
Not recorded

These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.

Reported results 0

This source record has no numeric results in our collection. That does not mean a score of zero or that no public results exist. Consult the original resources above.