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Zero-shot composed video retrieval can jump by over 35% absolute R@1 without any parameter updates鈥攑rovided you route frozen foundation models as a dynamic compute ladder rather than a uniform scoring function.
Open-ended reinforcement learning with LLM-based rewards unlocks surprisingly strong performance in medical reasoning for multimodal models, even with limited training data.
