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Found 2 papers, 1 papers with code
Approximate Cluster-Based Sparse Document Retrieval with Segmented Maximum Term Weights
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 inference using a learned sparse representation.
Representation Sparsification with Hybrid Thresholding for Fast SPLADE-based Document Retrieval
Learned sparse document representations using a transformer-based neural model has been found to be attractive in both relevance effectiveness and time efficiency.
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