University of Tübingen, Germany; Brown University, USA; JKU Linz, LIT AI Lab, Austria
dense retrieval;reciprocal nearest neighbors;ranking context;contrastive learning;list-wise loss;false negatives;label smoothing;transformers;Large Language Models;information retrieval;natural language processing;deep learning
Enhancing the Ranking Context of Dense Retrieval through Reciprocal Nearest Neighbors