Source record

Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2609.19721.

Pipeline notes

The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.

LearnActCoder is a Coder-Judge clinical coding agent pipeline that uses a Learn-Then-Act framework converting errors from a small labeled batch into a structured Mistake Knowledge Database. On 150 MIMIC-III notes, structured memory lifts CPT F1 by 5.9 points; ICD-9 and ICD-10 F1 gains are not significant. Absolute CPT performance remains low; evaluation is retrospective.

Tests whether structured, feedback-derived error memory helps LLM agents adapt without weight updates. Worth noting for the mixed results: structured memory helps CPT but not ICD F1.

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