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cs.LG2026
Beyond Mode-Seeking RL: Trajectory-Balance Post-Training for Diffusion Language Models
Saba Ahmadi, Prasanna Parthasarathi, Yufei Cui
Diffusion language models are a promising alternative to autoregressive models, yet post-training methods for them largely adapt reward-maximizing objectives. We identify a central…
cs.LG2026
Mask Is What DLLM Needs: A Masked Data Training Paradigm for Diffusion LLMs
Linrui Ma, Yufei Cui, Kai Han +1
Discrete diffusion models offer global context awareness and flexible parallel generation. However, uniform random noise schedulers in standard DLLM training overlook the highly no…
cs.LG2026
Diffusion In Diffusion: Reclaiming Global Coherence in Semi-Autoregressive Diffusion
Linrui Ma, Yufei Cui, Kai Han +1
One of the most compelling features of global discrete diffusion language models is their global bidirectional contextual capability. However, existing block-based diffusion studie…