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Back to Basics: Revisiting REINFORCE Style Optimization f... | ResearchHub
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Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs
2
Authors
Arash Ahmadian
6 more
Arash Ahmadian
•
Chris Cremer
4 more
•
Sara Hooker
Published
February 22, 2024
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Journal
arXiv (Cornell University)
Topics
Computer Science
Machine Learning
Artificial Intelligence
Reinforcement Learning
Political Science And International Relations
Show all topics
DOI
10.48550/arxiv.2402.14740
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Supporters
Support the authors with ResearchCoin
Tip RSC
Journal
arXiv (Cornell University)
Topics
Computer Science
Machine Learning
Artificial Intelligence
Reinforcement Learning
Political Science And International Relations
Show all topics
DOI
10.48550/arxiv.2402.14740
Other Formats
PDF
