# Passage Relevance Scoring

A text ranking cross-encoder based on the ELECTRA architecture, designed for retrieval result reranking tasks

A cross-encoder model trained on the MS Marco passage ranking task for query-passage relevance scoring in information retrieval.

A multilingual passage reranking model supporting over 100 languages, designed to improve the relevance ranking of search engine results

This model is a cross-encoder trained on distilroberta-base for determining whether a given passage can answer a specific question, trained on the GLUE QNLI dataset.

An information retrieval model optimized based on the TinyBERT architecture, specifically trained for the MS Marco passage ranking task

A lightweight cross-encoder trained on the MS Marco passage ranking task for query-passage relevance scoring in information retrieval