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GEPA-Curator: Curated Learning for Self Improving Agents

Hugging Face Daily Papers ↗ · 2026-10-27 Cached

GEPA-Curator is a framework that improves agentic prompt optimization by filtering noisy failure signals and retrieving prior successful trajectories, achieving gains of up to 20.7% over GEPA and 21.2% over ACE on benchmarks like GoBrowse, ALFWorld, AppWorld, and τ-bench.

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