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Kyoto University
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DIAG reshapes practice distribution to maximize informative supervision, leading to significantly improved reasoning performance in LLMs.
Achieving coupled-cluster accuracy for molecular properties with the computational cost of a single DFT calculation could revolutionize molecular modeling in chemistry.
Blurry structures and temporal flicker in driving scene rendering can be effectively mitigated using a unified framework that leverages spatial and temporal cues across datasets.
GEM-Occ transforms transient visual geometry into a robust semantic occupancy memory, achieving superior performance in indoor mapping tasks.
