Unmask the State: When Does State Adaptation Matter for Masked Diffusion Language Models
cs.AI
Submitted: 2026-09-27
Updated: 2026-09-27
Terminology
Sources
- Where-to-Unmask: Ground-Truth-Guided Unmasking Order Learning for Masked Diffusion Language Models
- Search or Accelerate: Confidence-Switched Position Beam Search for Diffusion Language Models
- Optimal Inference Schedules for Masked Diffusion Models
- Unifying Masked Diffusion Models with Various Generation Orders and Beyond
- Lookahead Unmasking Elicits Accurate Decoding in Diffusion Language Models
- Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution
- DSB: Dynamic Sliding Block Scheduling for Diffusion LLMs
- Path Planning for Masked Diffusion Model Sampling
- Dependency-Guided Parallel Decoding in Discrete Diffusion Language Models
- Improving Diffusion Language Model Decoding through Joint Search in Generation Order and Token Space
- Dream 7B: Diffusion Large Language Models
- Generation Order and Parallel Decoding in Masked Diffusion Models: An Information-Theoretic Perspective
- Swordsman: Entropy-Driven Adaptive Block Partition for Efficient Diffusion Language Models
- LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models
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