DPRM introduces a Doob h-transform process reward module as a plug-in for token ordering in diffusion language models, with convergence proofs and empirical gains over confidence baselines especially on hard reasoning and scientific design tasks.
18 DPRM: A Plug-in Token-Ordering Module for Diffusion Language Models Figure 5.MATH pass@ K curves by difficulty level (1: trivial, 2: easy, 3: medium, 4: hard, 5: OOD)
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DPRM: A Plug-in Doob h transform-induced Token-Ordering Module for Diffusion Language Models
DPRM introduces a Doob h-transform process reward module as a plug-in for token ordering in diffusion language models, with convergence proofs and empirical gains over confidence baselines especially on hard reasoning and scientific design tasks.