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This paper introduces MM-CreativityBench, a benchmark for evaluating creative tool use in large multimodal models under physically constrained environments, and proposes affordance-grounded alignment using Direct Preference Optimization to reduce hallucination and improve grounded reasoning.
KinDER is a new open-source benchmark for physical reasoning in robotics, featuring procedurally generated environments and baselines to evaluate kinematic and dynamic constraint challenges.