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Collaboration boosts contextual optimization: sharing beliefs across heterogeneous clients slashes regret in real-world design tasks.
Stop training black-box reward models: VL-MDR offers a transparent alternative that surfaces *why* a VLM is getting a certain reward, opening the door to more targeted alignment.
