Study Finds Simpler Training Improves Reasoning in Diffusion Language Models

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New research shows that restricting diffusion language models to standard generation order can significantly improve reasoning performance.
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A new study finds that diffusion language models reason better when constrained to standard left-to-right generation. By avoiding arbitrary flexibility and using a simple training method called JustGRPO, researchers show that fewer options can expand reasoning capability rather than limit it.