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Keye-VL-2.0 achieves lossless processing of 256K video contexts, revolutionizing long-video understanding and agent collaboration.
Surprisingly, the "think before answer" paradigm fails to enhance generative recommendation models, prompting a novel approach that redefines how reasoning is integrated into these systems.
Sub-linear attention is now possible without sacrificing complete long-range dependency retention, thanks to learnable summary tokens that compress context.
Stop handcuffing student diffusion models to their teachers: framing distribution matching as a reward unlocks more stable and performant distillation via RL techniques.
