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Treating all latent tokens identically bottlenecks multimodal test-time compute鈥攄isentangling hidden-state updates into visual-grounding and high-entropy reasoning channels beats standard output-space search under matched sample budgets.
Sparse rewards can be effectively optimized without losing the advantages of fine-grained feedback through a novel two-stage training approach.
Over 1,100 submissions reveal groundbreaking advancements in sports video understanding, with new methods pushing the boundaries of action prediction and localization.
Dynamo achieves a remarkable 5.6% average accuracy boost in visual reasoning tasks without retraining, revolutionizing how VLMs adapt in real-time.
