MixGR: Enhancing Retriever Generalization for Scientific Domain through Complementary Granularity
Fengyu Cai, Xinran Zhao, Tong Chen, Sihao Chen, Hongming Zhang, Iryna Gurevych, Heinz Koeppl
- Anthology ID:
- 2024.emnlp-main.579
- Volume:
- Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
- Month:
- November
- Year:
- 2024
- Address:
- Miami, Florida, USA
- Editors:
- Yaser Al-Onaizan, Mohit Bansal, Yun-Nung Chen
- Venue:
- EMNLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 10369–10391
- Language:
- URL:
- https://preview.aclanthology.org/add-emnlp-2024-awards/2024.emnlp-main.579/
- DOI:
- 10.18653/v1/2024.emnlp-main.579
- Cite (ACL):
- Fengyu Cai, Xinran Zhao, Tong Chen, Sihao Chen, Hongming Zhang, Iryna Gurevych, and Heinz Koeppl. 2024. MixGR: Enhancing Retriever Generalization for Scientific Domain through Complementary Granularity. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 10369–10391, Miami, Florida, USA. Association for Computational Linguistics.
- Cite (Informal):
- MixGR: Enhancing Retriever Generalization for Scientific Domain through Complementary Granularity (Cai et al., EMNLP 2024)
- PDF:
- https://preview.aclanthology.org/add-emnlp-2024-awards/2024.emnlp-main.579.pdf