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Diffusion models can now predict driver attention with state-of-the-art accuracy by incorporating LLM-enhanced semantic reasoning.
VecFormer slashes the computational cost of graph transformers while boosting out-of-distribution generalization by operating attention on quantized "graph tokens" instead of individual nodes.
