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arXiv · 2112.13432

New Methods & Metrics for LFQA tasks

Suchismit Mahapatra·Vladimir Blagojevic·Pablo Bertorello·Prasanna Kumar
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Abstract

Long-form question answering (LFQA) tasks require retrieving the documents pertinent to a query, using them to form a paragraph-length answer. Despite considerable progress in LFQA modeling, fundamental issues impede its progress: i) train/validation/test dataset overlap, ii) absence of automatic metrics and iii) generated answers not being "grounded" in retrieved documents. This work addresses every one these critical bottlenecks, contributing natural language inference/generation (NLI/NLG) methods and metrics that make significant strides to their alleviation.

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Suchismit Mahapatra, Vladimir Blagojevic, Pablo Bertorello, Prasanna Kumar. 2021-12-26. New Methods & Metrics for LFQA tasks. https://arxiv.org/abs/2112.13432

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