Beyond MaxSim: Researchers Push for Richer Interactions at Scale in Embeddings
IgorCarron · x · 2026-10-27
Antoine Chaffin argues embedding/retrieval models should move beyond simple dot-product similarity and the MaxSim objective toward "richer interactions at scale." His experiments still need fixes and contrastive learning, and he welcomes open releases that make comparisons more apples-to-apples than training only on MSMARCO with differing data mixes. Igor Carron amplified the thread asking what comes after MaxSim.
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