LLaDA-8B-Base

A new study introduces CaRE, a compute-aware evaluation framework for masked diffusion language models (MDLMs), revealing that current evaluation standards conflate algorithmic improvements with hidde…

Researchers propose JUMP (Joint Uncertainty-Guided Mask Probing), a single-pass membership inference attack on fine-tuned discrete diffusion language models that improves mean ROC-AUC from 0.82 to 0.9…