EPIC: Efficient and Parallel Inference under CFG Constraints for Diffusion Language Models 事件

EPIC: Efficient and Parallel Inference under CFG Constraints for Diffusion Language Models arXiv:2606.00722v1 Announce Type: new Abstract: Controlling language model outputs is essential for ensuring structural validity, reliability, and downstream usability, and diffusion language models are no exception. Recent advances in diffusion language model decoding have extended output control beyond regular constraints to context-free grammar (CFG) constraints. Existing methods, however, can be up to