Paper Summary: Inference Time Re-ranker Relevance Feedback for Neural Information Retrieval

Today, I'm discussing the Inference Time Re-ranker Relevance Feedback for Neural Information Retrieval. This video explores a solution provided by Allen AI, UIUC, and UW to improve the traditional bi encoder relevance relation. The approach involves re-ranking at inference time instead of a post bi encoder. I explain the traditional systems and the limitations of using a cross encoder model. Then, I dive into the team's approach of updating the query encoding with language distilled information from the cross encoder. The video also highlights the team's results, which consistently outperform …