- Anthology ID:
- 2021.findings-acl.51
- Volume:
- Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
- Month:
- August
- Year:
- 2021
- Address:
- Online
- Editors:
- Chengqing Zong, Fei Xia, Wenjie Li, Roberto Navigli
- Venue:
- Findings
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 570–582
- Language:
- URL:
- https://aclanthology.org/2021.findings-acl.51
- DOI:
- 10.18653/v1/2021.findings-acl.51
- Cite (ACL):
- Xiaofei Ma, Cicero Nogueira dos Santos, and Andrew O. Arnold. 2021. Contrastive Fine-tuning Improves Robustness for Neural Rankers. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 570–582, Online. Association for Computational Linguistics.
- Cite (Informal):
- Contrastive Fine-tuning Improves Robustness for Neural Rankers (Ma et al., Findings 2021)
- PDF:
- https://preview.aclanthology.org/emnlp-22-attachments/2021.findings-acl.51.pdf
- Data
- InsuranceQA, WikiQA