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AMVL eliminates the critical train-inference mismatch in MLLMs, leading to substantial improvements in reasoning performance across multimodal tasks.
Video-LLMs aren't failing at perception, they're being tricked by their own assumptions, but a new dataset and reasoning chain can fix it.
