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LLMs' hallucinations stem from a "gray zone" of internal belief ambiguity near knowledge boundaries, and geometric denoising in the latent space offers a surprisingly effective way to purge it.
Diffusion Transformers get a 2x speed boost without sacrificing quality thanks to a new routing mechanism that dynamically skips computations based on input sample sparsity.
