AI RESEARCH
Continuous Latent Diffusion Language Model
arXiv CS.CL
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ArXi:2605.06548v1 Announce Type: new Large language models have achieved remarkable success under the autoregressive paradigm, yet high-quality text generation need not be tied to a fixed left-to-right order. Existing alternatives still struggle to jointly achieve generation efficiency, scalable representation learning, and effective global semantic modeling. We propose Cola DLM, a hierarchical latent diffusion language model that frames text generation through hierarchical information decomposition.