matryoshka

This paper introduces m3BERT, a multilingual bidirectional encoder with a novel pretraining strategy that jointly optimizes representations across transformer layers and multiple embedding dimensions, enabling a single model to be adapted to varied resource constraints. It significantly outperforms state-of-the-art models on the Bing-Click industrial retrieval dataset.