There are no reviews yet. Be the first to send feedback to the community and the maintainers!
DRhard
SIGIR'21: Optimizing DR with hard negatives and achieving SOTA first-stage retrieval performance on TREC DL Track.RepCONC
WSDM'22 Best Paper: Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense RetrievalRepBERT-Index
RepBERT is a competitive first-stage retrieval technique. It represents documents and queries with fixed-length contextualized embeddings. The inner products of them are regarded as relevance scores. Its efficiency is comparable to bag-of-words methods.disentangled-retriever
An easy-to-use python toolkit for flexibly adapting various neural ranking models to any target domain.JPQ
CIKM'21: JPQ substantially improves the efficiency of Dense Retrieval with 30x compression ratio, 10x CPU speedup and 2x GPU speedup.bert-ranking-analysis
SIGIR'20: An Analysis of BERT in Document Rankingextrapolate-eval
CIKM 2022: Evaluating Interpolation and Extrapolation Performance of Neural Retrieval ModelsPromptReformulate
Love Open Source and this site? Check out how you can help us