
LightningRL: Breaking the Accuracy-Parallelism Trade-off of Block-wise dLLMs via Reinforcement Learning
A reinforcement learning framework for improving the inference efficiency of block-wise diffusion language models.

A reinforcement learning framework for improving the inference efficiency of block-wise diffusion language models.

A large-scale empirical study of the structure and security risks of the LLM software supply chain.

A unified model connecting world modeling, language reasoning, and action synthesis.