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Jul 2026
HybridSparse: An End-to-End Hybrid Framework for Efficient Large-Scale Retrieval
This work introduces HybridSparse, an end-to-end hybrid retrieval framework that strengthens sparse--dense interaction across modeling, training, and serving and adopts a unified encoder with a shared backbone and jointly optimizes lexical and semantic representations through co-training.
Haotong Bao, Jianjin Zhang, Weihao Han et al.
· Annual International ACM SIG... · 0 citations