most citedCurriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM Reasoning

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cs.CL2026

Learnability-Informed Fine-Tuning of Diffusion Language Models

Shubham Parashar, Atharv Chagi, Jacob Helwig +5

We aim to improve the reasoning capabilities of diffusion language models (DLMs). While SFT is a popular post-training recipe for autoregressive models, its use in DLMs faces chall…