47 citations · 50 across the 2 of their papers we have counts for
2 papers
cs.IR2023★ 3 cited
Generative and Pseudo-Relevant Feedback for Sparse, Dense and Learned Sparse Retrieval
Iain Mackie, Shubham Chatterjee, Jeffrey Dalton
Pseudo-relevance feedback (PRF) is a classical approach to address lexical mismatch by enriching the query using first-pass retrieval. Moreover, recent work on generative-relevance…
cs.IR2023★ 47 cited
Generative Relevance Feedback with Large Language Models
Iain Mackie, Shubham Chatterjee, Jeffrey Dalton
Current query expansion models use pseudo-relevance feedback to improve first-pass retrieval effectiveness; however, this fails when the initial results are not relevant. Instead o…