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SWE-Protégé: Learning to Selectively Collaborate With an Expert Unlocks Small Language Models as Software Engineering Agents

SWE-Protégé trains small language models to selectively seek expert guidance and avoid looping, achieving 42.4% Pass@1 on SWE-bench Verified with minimal expert use.

Patrick Tser Jern Kon, Archana Pradeep, Ang Chen, Alex Ellis and 4 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 2 on Hugging Face

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 2/5