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Generative Retrieval as Multi-Vector Dense Retrieval

Shiguang Wu, Wenda Wei, Mengqi Zhang, Zhumin Chen, Jun Ma, Zhaochun Ren, Maarten de Rijke, Pengjie Ren

2024Year
14Citations
4Top-tier citations

Abstract

Our finding applies to many generative retrieval identifier designs and provides possible explanations on how generative retrieval can express query-document relevance. As multi-vector dense retrieval is the state-of-the-art dense retrieval method currently, understanding the connection between generative retrieval and multi-vector dense retrieval is crucial for shedding light on the underlying mechanisms of generative retrieval and for developing, and understanding the potential of, new retrieval models.

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