BERT Reranker for MS-MARCO Document Ranking

Model description

A text reranker trained for HDCT retriever on MS MARCO document dataset.

Intended uses & limitations

It is possible to work with other retrievers like BM25 but using aligned HDCT works the best.

How to use

See our project repo page.

Eval results

MRR @10: 0.434 on Dev. MRR @10: 0.382 on Eval.

BibTeX entry and citation info

               title={Rethink Training of BERT Rerankers in Multi-Stage Retrieval Pipeline}, 
               author={Luyu Gao and Zhuyun Dai and Jamie Callan},
               booktitle={The 43rd European Conference On Information Retrieval (ECIR)},
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