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Light-Omni achieves a remarkable 12.1× speedup in video understanding while enhancing accuracy, redefining efficiency in agentic video processing.
Leaderboard-topping video models are still surprisingly brittle, failing on basic video reasoning tasks unless given the right textual cues.
Forget static, single-turn personalization – PersonaVLM unlocks long-term, evolving user alignment in MLLMs, even surpassing GPT-4o.
Ditch autoregressive MLLMs: Omni-Diffusion proves that mask-based discrete diffusion models can unify multimodal understanding and generation across text, speech, and images with competitive performance.
