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} }