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Even state-of-the-art MLLMs fail to match human accuracy in verifying 3D content, highlighting a critical gap in grounding generative AI.
ED-DiT achieves a remarkable reduction in prediction error, showcasing the power of physics-guided pretraining in molecular representation learning.