"Quantifying Language Models' Sensitivity to Spurious Features in Prompt ..."

Melanie Sclar et al. (2024)

> Home

Details and statistics

DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2024-08-07

- view
  - electronic edition @ openreview.net (open access)
- export record
  dblp key:
  - conf/iclr/Sclar0TS24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iclr/Sclar0TS24
Melanie Sclar, Yejin Choi, Yulia Tsvetkov, Alane Suhr:
Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting. ICLR 2024

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.