3 citations · 3 across the 4 of their papers we have counts for
4 papers
LSTM-based Selective Dense Text Retrieval Guided by Sparse Lexical Retrieval
Yingrui Yang, Parker Carlson, Yifan Qiao +3
This paper studies fast fusion of dense retrieval and sparse lexical retrieval, and proposes a cluster-based selective dense retrieval method called CluSD guided by sparse lexical…
Weighted KL-Divergence for Document Ranking Model Refinement
Yingrui Yang, Yifan Qiao, Shanxiu He +1
Transformer-based retrieval and reranking models for text document search are often refined through knowledge distillation together with contrastive learning. A tight distribution…
Approximate Cluster-Based Sparse Document Retrieval with Segmented Maximum Term Weights
Yifan Qiao, Shanxiu He, Yingrui Yang +2
This paper revisits cluster-based retrieval that partitions the inverted index into multiple groups and skips the index partially at cluster and document levels during online infer…
Dual Skipping Guidance for Document Retrieval with Learned Sparse Representations
Yifan Qiao, Yingrui Yang, Haixin Lin +3
This paper proposes a dual skipping guidance scheme with hybrid scoring to accelerate document retrieval that uses learned sparse representations while still delivering a good rele…