2026
Improving Reasoning for Diffusion Language Models via Group Diffusion Policy Optimization
ICLR 2026poster
Diffusion language models (DLMs) enable parallel, order-agnostic generation with iterative refinement, offering a flexible alternative to autoregressive large language models (LLMs). However, adapting reinforcement learning (RL) fine-tuning to DLMs remains an open challenge because of the intractabl…