Author

Mathias Ollu

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#machine learning Preprint Oct 2026

Denoising Hierarchical Representations: Joint Continuous Diffusion for Language Modeling

H-CDLMs is introduced, a simple framework that further improves continuous DLMs with minimal compute and parameter overhead and applies H-CDLM to the flow matching model FLM, obtaining consistent gains with H-FLM and demonstrating that the framework generalizes across continuous generative paradigms.

Mathias Ollu, Nikos Komodakis · 0 citations