Improving the Robustness of Dense Retrievers Against Typos via Multi-Positive Contrastive Learning.

@inproceedings{sidiropoulos-2024-improving, author = {Georgios Sidiropoulos and Evangelos Kanoulas}, editor = {Nazli Goharian and Nicola Tonellotto and Yulan He and Aldo Lipani and Graham McDonald and Craig Macdonald and Iadh Ounis}, title = {{Improving the Robustness of Dense Retrievers Against Typos via Multi-Positive Contrastive Learning}}, booktitle = {{Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part III}}, series = {Lecture Notes in Computer Science}, volume = {14610}, pages = {297--305}, publisher = {Springer}, year = {2024}, url = {https://doi.org/10.1007/978-3-031-56063-7_21}, doi = {https://doi.org/10.1007/978-3-031-56063-7_21} }