DTCA: Denoising Token Credit Assignment for Reinforcement Learning in Diffusion Language Models

Researchers propose Denoising Token Credit Assignment (DTCA), a framework for token-level credit assignment in reinforcement learning for diffusion language models. DTCA estimates token contributions by measuring improvements in prediction confidence of remaining masked positions after token commitment and groups these signals by part-of-speech categories.