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University of Adelaide
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Hallucinated tokens in LVLMs betray themselves through diffuse attention patterns and a failure to semantically align with any specific image region, enabling highly accurate detection.
Unlock geometry-precise 3D generation by directly conditioning diffusion models on readily available point cloud priors, outperforming existing image- or text-conditioned methods.
LLMs can now explain chemical reactions from 4D molecular trajectories, thanks to a new benchmark and model designed to bridge the gap between dynamic molecular simulations and natural language understanding.