Researcher, Shanghai Artificial Intelligence Laboratory
2 papers at NeurIPS 2025
HiFlow is a training-free and model-agnostic framework to unlock the resolution potential of pre-trained flow models.
This paper the first unified multimodal CoT-based reward model, capable of multi-dimensional, step-by-step long-chain reasoning for both visual understanding and generation reward tasks.