"Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language ..."

Federico Bianchi 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/0001SARJH024
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iclr/0001SARJH024
Federico Bianchi, Mirac Suzgun, Giuseppe Attanasio, Paul Röttger, Dan Jurafsky, Tatsunori Hashimoto, James Zou:
Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions. 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.