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SPIN Processed News Frame: The Hype
Representation-based Masked Diffusion Model
Researchers introduced a new language modeling framework called Representation-based Masked Diffusion Model (RMDM) that uses continuous semantic representations to coordinate parallel token updates in masked diffusion, aiming to improve coherence and quality—especially in fast, few-step generation.
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arXiv Computation and Language
Sep 14, 2026
SPIN Processed News Frame: The Hype
Adaptive Multi-Step Lookahead Decoding for Diffusion Language Models
Researchers introduced AdaLook, an adaptive multi-step lookahead decoding method for masked diffusion language models that dynamically adjusts rollout depth based on candidate-score variance to improve the accuracy–decoding steps trade-off.
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arXiv Computation and Language
Jul 20, 2026