Learned Relay Representations enable masked diffusion models to propagate useful latent information across denoising steps, scaling to Fast-dLLM v2 to outperform supervised finetuning on coding tasks while cutting inference latency by up to 32%.
There is no 16-clue sudoku: Solving the sudoku minimum number of clues problem via hitting set enumeration
2 Pith papers cite this work. Polarity classification is still indexing.
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Derives explicit formula for updated boundary and coboundary operators after critical pair cancellation in discrete Morse theory using original operators.
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Learned Relay Representations for Forward-Thinking Discrete Diffusion Models
Learned Relay Representations enable masked diffusion models to propagate useful latent information across denoising steps, scaling to Fast-dLLM v2 to outperform supervised finetuning on coding tasks while cutting inference latency by up to 32%.
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Cancellation of a critical pair in discrete Morse theory and its effect on (co)boundary operators
Derives explicit formula for updated boundary and coboundary operators after critical pair cancellation in discrete Morse theory using original operators.