"Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural ..."

Weng Tam et al. (2023)

> Home

Details and statistics

DOI: 10.18653/V1/2023.FINDINGS-EMNLP.874

access: open

type: Conference or Workshop Paper

metadata version: 2024-07-24

- view
  - electronic edition via DOI (open access)
  - electronic edition @ aclanthology.org (open access)
  authority control:
- export record
  dblp key:
  - conf/emnlp/TamLJXLLDT23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/emnlp/TamLJXLLDT23
Weng Tam, Xiao Liu, Kaixuan Ji, Lilong Xue, Jiahua Liu, Tao Li, Yuxiao Dong, Jie Tang:
Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers. EMNLP (Findings) 2023: 13117-13130

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.