error-memory

The article introduces LearnActCoder, a role-aware error memory framework that adapts clinical coding agents by converting errors into structured lessons, improving CPT coding performance without model weight updates.

DiagEvo improves language-model self-evolution by deriving training direction from internal failure history via hierarchical error-cause memory and double-confidence filtering, outperforming baselines that rely on external resources.