LEAD: Liberal Feature-based Distillation for Dense Retrieval.
Hao Sun|Xiao Liu|Yeyun Gong|Anlei Dong|Jingwen Lu|Yan Zhang|Linjun Yang|Rangan Majumder|Nan Duan
| Anthology ID: | DBLP:conf/wsdm/SunLGDLZYMD24 |
|---|---|
| Volume: | Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024 |
| Year: | 2024 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 655-664 |
| URL: | https://doi.org/10.1145/3616855.3635774 |
| DOI: | https://doi.org/10.1145/3616855.3635774 |
| DBLP: | conf/wsdm/SunLGDLZYMD24 |
| BibTeX: |
@inproceedings{sun-2024-lead,
author = {Hao Sun and
Xiao Liu and
Yeyun Gong and
Anlei Dong and
Jingwen Lu and
Yan Zhang and
Linjun Yang and
Rangan Majumder and
Nan Duan},
editor = {Luz Angelica Caudillo-Mata and
Silvio Lattanzi and
Andr\'{e}s Mu\~{n}oz Medina and
Leman Akoglu and
Aristides Gionis and
Sergei Vassilvitskii},
title = {{LEAD: Liberal Feature-based Distillation for Dense Retrieval}},
booktitle = {{Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024}},
pages = {655--664},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3616855.3635774},
doi = {https://doi.org/10.1145/3616855.3635774}
}