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EviGen: Predictive Evidence Scaffolding for Verifiable Clinical Rationale Generation

Paper recorded by Signals 4 on 2026-09-16 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-16 on arXiv · recorded by Signals 4 on 2026-09-17

Category: cs.CL · 自然语言处理 · first seen 2026-09-17

Abstract

Longitudinal electronic health records (EHRs) capture years of patient history across notes, codes, labs, and procedures, and contain evidence needed to reason about likely clinical outcomes. However, comprehensive clinician review of these records is impractical, and LLM-based processing is costly and often unreliable, missing some relevant observations while hallucinating others. We therefore pr

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#20 most recent of 186 cs.CL papers we have recorded · ↑ newer: PersonaPath: Towards Knowledge-Centric Personalized Learning Path Plan · ↓ older: ReFigBench: Benchmarking Scientific Figure Reconstruction as Editable
Cite this page: EviGen: Predictive Evidence Scaffolding for Verifiable Clinical Rationale Generation: the #20 most recent of 186 cs.CL papers we have recorded (as of 2026-09-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/evigen-predictive-evidence-scaffolding-for-verifiable-clinical-rationale-generat.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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