SamToNe: Improving Contrastive Loss for Dual Encoder Retrieval Models with Same Tower Negatives

Fedor Moiseev, Gustavo Hernández Abrego, Péter Dornbach, Imed Zitouni, Enrique Alfonseca, Zhe Dong. SamToNe: Improving Contrastive Loss for Dual Encoder Retrieval Models with Same Tower Negatives. In Anna Rogers, Jordan L. Boyd-Graber, Naoaki Okazaki, editors, Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada, July 9-14, 2023. pages 12028-12037, Association for Computational Linguistics, 2023. [doi]

@inproceedings{MoiseevADZAD23,
  title = {SamToNe: Improving Contrastive Loss for Dual Encoder Retrieval Models with Same Tower Negatives},
  author = {Fedor Moiseev and Gustavo Hernández Abrego and Péter Dornbach and Imed Zitouni and Enrique Alfonseca and Zhe Dong},
  year = {2023},
  url = {https://aclanthology.org/2023.findings-acl.761},
  researchr = {https://researchr.org/publication/MoiseevADZAD23},
  cites = {0},
  citedby = {0},
  pages = {12028-12037},
  booktitle = {Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada, July 9-14, 2023},
  editor = {Anna Rogers and Jordan L. Boyd-Graber and Naoaki Okazaki},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-959429-62-3},
}