OraRL

New research highlights techniques that slash compute by 5-10x while preserving output quality, including latent compression, block-wise inference, and mixed-precision routing. Task-specific harnesses…

Researchers introduced OraRL, a reinforcement learning method for video multimodal large language models that uses annotations as oracle rollouts to improve sample efficiency and scalability. OraRL re…