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Verifiable by Construction: Claim-Level Evaluation of Verbatim Citation in Clinical Question Answering

Paper recorded by Signals 4 on 2026-09-14 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-14 on arXiv · recorded by Signals 4 on 2026-09-15

Category: cs.CL · 自然语言处理 · first seen 2026-09-15

Abstract

Large language models (LLMs) have been widely adopted for clinical question answering (QA). Current systems can attach citations to their answers, but these often point to broad texts, leaving time-pressed clinicians unable to verify them efficiently. An alternative is to ensure that responses are verifiable by construction: providing fine-grained verbatim quotes from reference material that subst

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#39 most recent of 186 cs.CL papers we have recorded · ↑ newer: Discovery Foundation Models: Toward Open-Ended Discovery Intelligence · ↓ older: HypoEvolve: Genetic Algorithms Enable Multi-Agent LLMs to Discover Sci
Cite this page: Verifiable by Construction: Claim-Level Evaluation of Verbatim Citation in Clinical Question Answering: the #39 most recent of 186 cs.CL papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/verifiable-by-construction-claim-level-evaluation-of-verbatim-citation-in-clinic.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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