Querit-Reranker: Training Compact Multilingual Rerankers via Efficient Label-Free Distribution Adaptation
Presents a multilingual cross-encoder reranker family trained via a data-centric pipeline for label-efficient adaptation.
š arxiv.org/abs/2606.19037
š¤ huggingface.co/Querit/Querit
Deployable multilingual rerankers must generalize across languages, domains, and target ranking tasks while remaining efficient enough for second-stage reranking. However, adapting them to new target ...
