What Changes When Fact-Verification Scores Improve? Evidence and Answer Accounting Across Trained Verifiers and LLMs
Unpacking the correlation between evidence quality and answer accuracy in automated fact-checking systems.
A joint fact-verification score assesses answers and submitted evidence together. When the score improves, how much of the gain remains if the answers are held fixed? On FEVEROUS, strict score is the percentage of claims with a correct answer and a complete annotated evidence gro...
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Improving joint fact-verification metrics reveals the nuanced trade-offs between retrieval accuracy and generative reasoning capabilities in large language models. This research highlights the necessity of isolating evidence quality from linguistic fluency to truly measure the reliability of AI-generated claims.
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