BAAI's DisCo: distilling 1,000 ML repos into 5,000+ skills lifts research agents 134% on MLE-bench
dair_ai · x · 2026-09-03
dairai highlights a BAAI paper on DisCo, aimed at anyone building research agents. Adding distilled skills yields:
- MLE-bench: +134.3%
- PaperBench: +34.4%
- FrontierCS: +9.2%
- PassNet: +14.0%
Approach: even a strong backbone with planning/execution/memory/verification harnesses doesn't know how to make a given method actually work — that know-how lives in repos and papers too large to load during a task. DisCo distills it: task-agnostic distillation condenses 1,000 widely used ML repositories into the AREX-Skill Library (5,000+ verified skills across 20 areas and 178 capability families), while task-oriented distillation writes the skills a concrete task calls for.
Related event: BAAI Open-Sources DisCo: Distilling GitHub Repos into Reusable AI Skills(3 posts)→
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