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Retrieving external knowledge and prompting large language models with relevant information is an effective paradigm to enhance the performance of question-answering tasks.
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A. Caciularu, M. Peters, J. Goldberger, I. Dagan, A. Cohan, Peek across: Improving multi-document modeling via cross-document question-answering, in: A. Rogers, J. Boyd-Graber, N. Okazaki (Eds.), Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Association for Computational Linguistics, Toronto, Canada, 2023, pp. 1970–1989 · 2023
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