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cs.LG2026
CanvasAnneal: Curriculum Reinforcement Learning for Diffusion Language Models
Blake Olson, Yuhang Song, Emmett McQuinn +1
Diffusion Language Models (DLMs) offer promising parallel generation capabilities but lag behind autoregressive models in complex reasoning and tool-use tasks. While Reinforcement…
cs.LG2025★ 1 cited
Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM Reasoning
Shubham Parashar, Shurui Gui, Xiner Li +8
We aim to improve the reasoning capabilities of language models via reinforcement learning (RL). Recent RL post-trained models like DeepSeek-R1 have demonstrated reasoning abilitie…