Evidentiality-aware Retrieval for Overcoming Abstractiveness in Open-Domain Question Answering

no code implementations • 6 Apr 2023 • Yongho Song, Dahyun Lee, Myungha Jang, Seung-won Hwang, Kyungjae Lee, Dongha Lee, Jinyeong Yeo

The long-standing goal of dense retrievers in abtractive open-domain question answering (ODQA) tasks is to learn to capture evidence passages among relevant passages for any given query, such that the reader produce factually correct outputs from evidence passages.

Contrastive Learning counterfactual +4