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Stanford CS234 I Guest Lecture on DPO: Rafael Rafailov, Archit Sharma, Eric Mitchell I Lecture 9
Small Language Model Alignment - Finetune SLMs to ALWAYS pick the best answer (Unsloth DPO)
ORPO: Monolithic Preference Optimization without Reference Model (Paper Explained)
Aligning LLMs with Direct Preference Optimization
Direct Preference Optimization (DPO): Your Language Model is Secretly a Reward Model Explained
PR-482: ORPO: Monolithic Preference Optimization without Reference Model
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models
SPADE: Self-Play in Adaptive Synthetic Executable Environments
Talk: Musings on Direct Preference Optimization (Kyunghyun Cho)
SPADE: Self-Play in Adaptive Synthetic Executable Environments (Aug 2026)
A Minimaximalist Approach to Reinforcement Learning from Human Feedback
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Last Updated: August 25, 2026
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