·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Eiliko maker says it’s hiring an ‘independent security firm’ after Verge report on its insecure robots1h◆Making the case for context-aware AI2h◆AI’s hidden storage bill: What inference leaves behind4h◆Ensemble forecasting with IBM Granite time-series models5h◆Retrieval Augmented Generation Compositionality8h◆Evolving with Open Worlds: Towards Recursive Self-Improvement for Future Forecasting8h◆Towards English - Mizo Legal Machine Translation: Corpus Creation, Analysis, and Benchmarks8h◆VeriEvolve: Evaluator-First Evolution for Tool-Using Agents8h◆Beyond Model Weights: Sampling-Dependent Fairness in Diffusion Language Models8h◆Asymmetry Tunneling Beyond Adaptive Equivariance Relaxation8h◆Asymmetric Likelihood-Free Hypothesis Testing8h◆Bilateral Sharpness-Aware Minimization for Flatter Minima8h◆Backtracking Direct, Indirect and Total Effects8h◆TNODEV: Toolbox for Neural ODE Verification8h◆Multi-Objective Protein Optimization via Modular Diffusion Steering8h◆Learning to Interfere in Non-Orthogonal Multiple-Access Joint Source-Channel Coding8h◆How to Use Parallel Data for Multilingual Pretraining8h◆KIRA: A Full-Stack Reading Screening System with Dual-Pathway Analysis for Children8h◆Building AI Research Teams for Autonomous Discovery of Linear Attention Architectures8h◆CSD: Common-Support Distillation for Cross-Tokenizer Knowledge Transfer8h◆Eiliko maker says it’s hiring an ‘independent security firm’ after Verge report on its insecure robots1h◆Making the case for context-aware AI2h◆AI’s hidden storage bill: What inference leaves behind4h◆Ensemble forecasting with IBM Granite time-series models5h◆Retrieval Augmented Generation Compositionality8h◆Evolving with Open Worlds: Towards Recursive Self-Improvement for Future Forecasting8h◆Towards English - Mizo Legal Machine Translation: Corpus Creation, Analysis, and Benchmarks8h◆VeriEvolve: Evaluator-First Evolution for Tool-Using Agents8h◆Beyond Model Weights: Sampling-Dependent Fairness in Diffusion Language Models8h◆Asymmetry Tunneling Beyond Adaptive Equivariance Relaxation8h◆Asymmetric Likelihood-Free Hypothesis Testing8h◆Bilateral Sharpness-Aware Minimization for Flatter Minima8h◆Backtracking Direct, Indirect and Total Effects8h◆TNODEV: Toolbox for Neural ODE Verification8h◆Multi-Objective Protein Optimization via Modular Diffusion Steering8h◆Learning to Interfere in Non-Orthogonal Multiple-Access Joint Source-Channel Coding8h◆How to Use Parallel Data for Multilingual Pretraining8h◆KIRA: A Full-Stack Reading Screening System with Dual-Pathway Analysis for Children8h◆Building AI Research Teams for Autonomous Discovery of Linear Attention Architectures8h◆CSD: Common-Support Distillation for Cross-Tokenizer Knowledge Transfer8h◆
News/Beyond Model Weights: Sampling-Dependent Fairness in Diffusion Language Models
arxiv
PublishedOctober 22, 2026 at 4:00 AM

Beyond Model Weights: Sampling-Dependent Fairness in Diffusion Language Models

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

arXiv:2610.27584v2 Announce Type: replace Abstract: Diffusion language models (DLMs) are emerging as a practical alternative to autoregressive language models (ARLMs), yet their fairness remains largely uncharacterized. DLMs introduce sampling controls with no direct autoregressive counterpart, such

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
arxivRetrieval Augmented Generation Compositionality8harxivEvolving with Open Worlds: Towards Recursive Self-Improvement for Future Forecasting8harxivTowards English - Mizo Legal Machine Translation: Corpus Creation, Analysis, and Benchmarks8harxivVeriEvolve: Evaluator-First Evolution for Tool-Using Agents8h
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