How does Vendi-RAG's iterative retrieval process compare to fixed-top-k retrieval on the 2WikiMultihop benchma

Abstract

Abstract: In the last few years, the deep learning (DL) computing paradigm has been deemed the Gold Standard in the machine learning (ML) community. Moreover, it has gradually become the most widely used computational approach in the field of ML, thus achieving outstanding results on several complex cognitive tasks, matching or even beating those provided by human performance. One of the benefits of DL is the ability to learn massive amounts of data. The DL field has grown fast in the last few years and it has been extensively used to successfully address a wide range of traditional applications. More i

Research Question

How does Vendi-RAG's iterative retrieval process compare to fixed-top-k retrieval on the 2WikiMultihop benchmark when evaluated using F1 and exact match scores under varying levels of injected irrelevant context?

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