Coupling continuous latent with token feedback improves diffusion language models

HC-DLM models the reverse process as a two-level chain where tokens are read out from a shared latent at each step and fed back to condition the next latent transition, tying the continuous state to valid discrete configurations.

Big Tech
Hui Ren · Zihan Li · Chang Liu · Huidong Liu · Alexander Schwing

University of Illinois Urbana-Champaign · Amazon.com, Inc.

Research Digest··3 min read
Ren et al.

Ren et al.

Why this paper

From Amazon.com, Inc. and University of Illinois Urbana-Champaign

In one line

Coupling continuous latent trajectories with token readout and feedback improves diffusion language models on reasoning and language modeling.

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