"Back to Basics: Revisiting REINFORCE-Style Optimization for Learning from ..."

Arash Ahmadian et al. (2024)

> Home

Details and statistics

DOI: 10.18653/V1/2024.ACL-LONG.662

access: open

type: Conference or Workshop Paper

metadata version: 2024-09-24

- view
  - electronic edition via DOI (open access)
  - electronic edition @ aclanthology.org (open access)
  authority control:
- export record
  dblp key:
  - conf/acl/AhmadianCGFKPUH24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/acl/AhmadianCGFKPUH24
Arash Ahmadian, Chris Cremer, Matthias Gallé, Marzieh Fadaee, Julia Kreutzer, Olivier Pietquin, Ahmet Üstün, Sara Hooker:
Back to Basics: Revisiting REINFORCE-Style Optimization for Learning from Human Feedback in LLMs. ACL (1) 2024: 12248-12267

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.