Leveraging LLMs for Unsupervised Dense Retriever Ranking - Dense Retrieval 1

Explore a 13-minute conference talk from the Association for Computing Machinery (ACM) on leveraging Large Language Models (LLMs) for unsupervised dense retriever ranking. Delve into the research presented by authors Ekaterina Khramtsova, Shengyao Zhuang, Mahsa Baktashmotlagh, and Guido Zuccon as part of the Dense Retrieval 1 (T2.1) session. Gain insights into innovative approaches for improving information retrieval systems using advanced AI techniques without the need for supervised learning.

SIGIR 2024 T2.1 [fp] Leveraging LLMs for Unsupervised Dense Retriever Ranking