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Top LLMs can achieve medal-equivalent scores on elite science exams, but they falter on visual grounding and long-horizon consistency.
Learning shared dynamics across heterogeneous systems gets a boost from a new distributionally robust approach that balances information via a worst-case reward optimization.
