Do Visual RL Gains Scale at Test Time? A Quantile View of Post-Training Paper • 2611.02366 • Published 10 days ago • 1
Do Visual RL Gains Scale at Test Time? A Quantile View of Post-Training Paper • 2611.02366 • Published 10 days ago • 1
view article Article The Most Intuitive Way to Understand Score Function Centering: Understand Trainer-Generator Mismatch in Async RL from the Score Function NormalUhr • 27 days ago • 17
Aligning One-Step Generative Models with Reward-Weighted Transport Distillation Paper • 2609.30840 • Published Sep 25 • 3
Aligning One-Step Generative Models with Reward-Weighted Transport Distillation Paper • 2609.30840 • Published Sep 25 • 3
Aligning One-Step Generative Models with Reward-Weighted Transport Distillation Paper • 2609.30840 • Published Sep 25 • 3
Ensemble Kalman Diffusion Guidance: A Derivative-free Method for Inverse Problems Paper • 2409.20175 • Published Sep 30, 2024 • 1
Ensemble Kalman Diffusion Guidance: A Derivative-free Method for Inverse Problems Paper • 2409.20175 • Published Sep 30, 2024 • 1
Beyond Pairwise Preferences: Listwise Reward-Aware Alignment for Diffusion Models Paper • 2605.26491 • Published May 26 • 1
Beyond Pairwise Preferences: Listwise Reward-Aware Alignment for Diffusion Models Paper • 2605.26491 • Published May 26 • 1