MLIPS: Multi-Layer Indexer Pool Sharing
This work introduces $MLIPS: a training-free method that shares candidate search while retaining each consumer's own scoring and selection, and characterize this shared working-set structure and use it to motivate Top-$G, an exploratory bounded pool construction for prefill.
Samkit Jain, Saikishan Pampana, Shlok Agarwal et al.
· 0 citations