·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Bridging the Gap: Converting Read Text to Conversational Dialogue4h◆Sharp and Stable Label-Free Calibration Certificates from Logical Coherence4h◆Backward Compatibility in Zero-Bit Neural Audio Watermarking4h◆Disagreement-Guided Weak-to-Strong Routing4h◆One Is Not Enough: How People Use Multiple AI Models in Everyday Life4h◆Compression Does Not End at Selection: Post-Selection Positional Geometry for Sparse KV Caches4h◆Unfragmenting Nawatl NMT: Single-Variant Specialization for Masewalkopa4h◆Explore Once, Evaluate Many: Multiple Policy Evaluation for Stochastic Linear Bandits4h◆BitSparse: Compact Activation Storage for ReLU Feed-Forward Networks4h◆Two Sample Sizes in Test-Time LLM Ensembling: Buffered ERM and Minimax Theory4h◆ManiFusion: Unlocking the High-Throughput Generation via Superposition in Manifold Space4h◆Policy-Aligned Predictive Verification for Adaptive VLA Action-Chunk Execution4h◆DuET: Note-Frame Dual Encoding for Piano Performance-to-Score Transcription4h◆Size-Transferability of Graph Transformers with Convolutional Positional Encodings4h◆Where to Steer: Input-Dependent Layer Selection for Steering Improves LLM Alignment4h◆Mind the Gap: Structure-Aware Consistency in Preference Learning4h◆Do LLMs have core beliefs?4h◆Boltzmann generators for amorphous particle systems4h◆Diffusion Models in Simulation-Based Inference: A Tutorial Review4h◆Sim-to-Real Transfer for Muscle-Actuated Robots via Generalized Actuator Networks4h◆Bridging the Gap: Converting Read Text to Conversational Dialogue4h◆Sharp and Stable Label-Free Calibration Certificates from Logical Coherence4h◆Backward Compatibility in Zero-Bit Neural Audio Watermarking4h◆Disagreement-Guided Weak-to-Strong Routing4h◆One Is Not Enough: How People Use Multiple AI Models in Everyday Life4h◆Compression Does Not End at Selection: Post-Selection Positional Geometry for Sparse KV Caches4h◆Unfragmenting Nawatl NMT: Single-Variant Specialization for Masewalkopa4h◆Explore Once, Evaluate Many: Multiple Policy Evaluation for Stochastic Linear Bandits4h◆BitSparse: Compact Activation Storage for ReLU Feed-Forward Networks4h◆Two Sample Sizes in Test-Time LLM Ensembling: Buffered ERM and Minimax Theory4h◆ManiFusion: Unlocking the High-Throughput Generation via Superposition in Manifold Space4h◆Policy-Aligned Predictive Verification for Adaptive VLA Action-Chunk Execution4h◆DuET: Note-Frame Dual Encoding for Piano Performance-to-Score Transcription4h◆Size-Transferability of Graph Transformers with Convolutional Positional Encodings4h◆Where to Steer: Input-Dependent Layer Selection for Steering Improves LLM Alignment4h◆Mind the Gap: Structure-Aware Consistency in Preference Learning4h◆Do LLMs have core beliefs?4h◆Boltzmann generators for amorphous particle systems4h◆Diffusion Models in Simulation-Based Inference: A Tutorial Review4h◆Sim-to-Real Transfer for Muscle-Actuated Robots via Generalized Actuator Networks4h◆
News/DMax: Aggressive Parallel Decoding for dLLMs
arxiv
PublishedMay 18, 2026 at 4:00 AM
—neutral

DMax: Aggressive Parallel Decoding for dLLMs

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2604.08302v3 Announce Type: replace-cross Abstract: We present DMax, a new paradigm for efficient diffusion language models (dLLMs). It mitigates error accumulation in parallel decoding, enabling aggressive decoding parallelism while preserving generation quality. Unlike conventional masked dL

Stay posted· Newsletter

Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.

// no spam · unsubscribe one-click · free forever

Your email is used only to send The Bubble Brief. Privacy policy

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →

Related coverage

More from ARXIV
arxivBridging the Gap: Converting Read Text to Conversational Dialogue4harxivSharp and Stable Label-Free Calibration Certificates from Logical Coherence4harxivBackward Compatibility in Zero-Bit Neural Audio Watermarking4harxivDisagreement-Guided Weak-to-Strong Routing4h
The Bubble Brief
MON · WED · FRI

Read AI insights every Monday, Wednesday and Friday — top movers, new models, story of the week.

// no spam · unsubscribe one-click · free forever

Your email is used only to send The Bubble Brief. Privacy policy

Originally published on arxiv ↗
PrivacyTermsRefundsLegal notice|AboutMethodologyContact

© 2026 Databubble

Built by Marouane Gazouzi · Readyo, AI interview coach

HomeModelsNews