Generative Relevance Feedback and Convergence of Adaptive Re-Ranking: Improving Passage Retrieval with Large Language Models and Corpus Graphs

Generative relevance feedback and adaptive re-ranking can improve passage retrieval performance, with the most effective approach combining generative pseudo-relevance feedback and adaptive re-ranking over a large corpus graph.