Uses a multimodal model's own critiques as privileged context and applies on-policy self-distillation over diffusion sampling trajectories to internalize corrective guidance, improving text-to-image generation without an external teacher; shows measurable gains on GenEval and GenEval2.
AI Video Papers2026
Turns live video into reusable textual memory and timely responses by training a streaming video LLM to proactively generate time-grounded captions and event summaries. Key components: Proactive Hierarchical Caption Memory (PHCM) for multi-scale records and Proactive State Transition Learning (PSTL) to balance response timing; trained on the OneStreamer-1M streaming dataset.