CanvasAnneal: Curriculum Reinforcement Learning for Diffusion Language Models
Diffusion Language Models (DLMs) offer promising parallel generation capabilities but lag behind autoregressive models in complex reasoning and tool-use tasks. While Reinforcement Learning (RL) has recently been applied to enhance DLMs, standard RL approaches suffer from an exploration bottleneck. To address this, we i...
Blake Olson, Yu-Hang Song, Emmett McQuinn et al.
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