Papers with multi-answer QA framework

1 papers
Inter-Passage Verification for Multi-evidence Multi-answer QA (2025.findings-acl)

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Challenge: Existing multi-answer question answering systems struggle to retrieve and synthesize a large number of evidence passages.
Approach: They propose a multi-answer question answering framework that generates a large set of passages and then processes each passage individually to generate an initial high-recall but noisy answer set.
Outcome: The proposed framework outperforms baselines on the QAMPARI and RoMQA datasets, achieving an average F1 score improvement of 11.17%.

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