TL;DR of the article, generated automatically.

Training multi-vector models to lose less when document vectors get pooled.

• Result: 97.8% of unpooled score kept at 4x fewer vectors, up from 94.6%.
• Method: adds a loss on pooled documents, averaged with the normal loss.
• Tool: Sentence Transformers loss wrapper, with example code.