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When Self-Verification Hurts: Calibrated Answer Repair for Financial Question Answering

Paper recorded by Signals 4 on 2026-11-03 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-11-03 on arXiv · recorded by Signals 4 on 2026-11-04

Category: cs.CL · 自然语言处理 · first seen 2026-11-04

Abstract

Financial question answering can fail even when a model extracts a plausible number from the supplied evidence: the answer may attach it to the wrong entity, period, unit, or accounting concept. Asking the model to verify and revise its draft can help, but open-ended revision may alter content that was already correct or inspect the wrong relation and reinforce the original error. We formulate rep

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#4 most recent of 628 cs.CL papers we have recorded · ↑ newer: What Does the Model See? Representation Validity in Multimodal LLM-Bas · ↓ older: GM League Arena: An Interactive Long-Horizon Task Benchmark Based on P
Cite this page: When Self-Verification Hurts: Calibrated Answer Repair for Financial Question Answering: the #4 most recent of 628 cs.CL papers we have recorded (as of 2026-11-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/when-self-verification-hurts-calibrated-answer-repair-for-financial-question-ans.html
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