End-to-End Trainable Retrieval-Augmented Generation for Relation Extraction

Kohei Makino, Makoto Miwa, Yutaka Sasaki

This paper addresses a crucial challenge in retrieval-augmented generation-based relation extractors; the end-to-end training is not applicable to conventional retrieval-augmented…