Watch a 15-minute conference presentation from SIGIR 2024 exploring how generative retrieval can be reimagined as multi-vector dense retrieval. Learn from authors Shiguang Wu, Wenda Wei, Mengqi Zhang, Zhumin Chen, Jun Ma, Zhaochun Ren, Maarten de Rijke and Pengjie Ren as they present their research findings on dense retrieval techniques and methodologies. Gain insights into the intersection of generative AI and information retrieval systems through this ACM-sponsored talk that advances understanding of modern search and retrieval architectures.
Generative Retrieval as Multi-Vector Dense Retrieval
Association for Computing Machinery (ACM) via YouTube
Overview
Syllabus
SIGIR 2024 W1.1 [fp] Generative Retrieval as Multi-Vector Dense Retrieval
Taught by
Association for Computing Machinery (ACM)
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