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cs.LG2026
Alpha Diffusion Language Models: Factorization Alone Is Not the Problem
Nikita Gushchin, Dmitry Baranchuk, Alexander Korotin
Discrete diffusion language models can generate multiple tokens in parallel, but reducing the number of denoising steps can lead to inconsistent predictions. Standard cross-entropy…
cs.CV2026
Rethinking Pixel Mean Flows via Interval Denoiser
Alexander Zaytsev, Dmitry Baranchuk, Alexander Korotin +1
Modern diffusion and flow-based models are increasingly moving toward few-step, latent-free generation to bypass the computational overhead of multi-step sampling and the reconstru…