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://aclanthology.org/2024.emnlp-main.579
DOI:
Bibkey:
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)
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