Reinforcement learning with a dual recall-precision reward trains models to enumerate valid interpretations and answers for ambiguous inputs using only multiple-answer supervision.
InProceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 6997–7008, On- line and Punta Cana, Dominican Republic
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Reasoning about Intent for Ambiguous Requests
Reinforcement learning with a dual recall-precision reward trains models to enumerate valid interpretations and answers for ambiguous inputs using only multiple-answer supervision.