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cs.CL2025
Cosmos: Compressed and Smooth Latent Space for Text Diffusion Modeling
Viacheslav Meshchaninov, Egor Chimbulatov, Alexander Shabalin +2
Autoregressive language models dominate modern text generation, yet their sequential nature introduces fundamental limitations: decoding is slow, and maintaining global coherence r…
cs.CL2025
Smoothie: Smoothing Diffusion on Token Embeddings for Text Generation
Alexander Shabalin, Viacheslav Meshchaninov, Dmitry Vetrov
Diffusion models have achieved state-of-the-art performance in generating images, audio, and video, but their adaptation to text remains challenging due to its discrete nature. Pri…