DTCA: Denoising Token Credit Assignment for Reinforcement Learning in Diffusion Language Models
Estimates a token’s contribution by how much revealing it improves predictions at other masked positions. Uses part-of-speech groups to select denoising states and assign reinforcement-learning credit, improving a diffusion language model on math problems.
First public: · Added to this list: November 2, 2026
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Alternative generation methods — Change how intermediate steps are generated, revised, or searched—for example, by refining several steps in parallel. Some produce written chains of thought.