CoDR: Training-free confidence-drift remasking for diffusion language models
Read the original at arxiv.org→arXiv:2610.08833v1 Announce Type: new Abstract: Masked diffusion language models (MDLMs) decode by repeatedly committing tokens to masked positions, but these commitments are usually irreversible. A token chosen...
Original headline: "CoDR: Training-Free Confidence-Drift Remasking for Diffusion Language Models"
Coverage timeline
- Oct 8, 04:00 UTC arXiv cs.CL lead source CoDR: Training-Free Confidence-Drift Remasking for Diffusion Language Models