OneShot: Index-in-Ranking with Neural Scoring for Large-Scale Retrieval
This work proposes a new holistic retrieval framework, OneShot, an end-to-end, in-model index learning framework that natively aligns index learning with ranking objectives and pushes the boundaries of retrieval expressiveness by scaling interaction modeling with neural scoring beyond the persistent dot-product bottlen...