·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
OpenAI says it will no longer train its AI models on the live internet, citing “significant risks”4h◆Hottest toy for Christmas? Nvidia CEO plays with adorable Microduck robots, 20,000 sell5h◆OpenAI now trains its frontier AI models with no internet access6h◆Jack Dorsey’s Block made an AI model that talks to you like an awkward new friend8h◆From Toast to Bessemer: Who founders will hear from at TechCrunch Founder Summit 20268h◆The iPhone Duo should have been an iPad10h◆Rapidly scaling online storage to serve over 1 billion ChatGPT users (Part II)10h◆Now Google says it might use your Gmail and Google Photos data to target ads11h◆LitPivot: Developing research ideas through dynamic contextualization within the literature landscape11h◆Meta delays new business terms after publisher pushback on AI scraping13h◆Retro gaming is being overrun with AI15h◆Securing our frontier model training environment17h◆VeriEvolve: Evaluator-First Evolution for Tool-Using Agents23h◆TNODEV: Toolbox for Neural ODE Verification23h◆Learning to Interfere in Non-Orthogonal Multiple-Access Joint Source-Channel Coding23h◆On the Expressive Power and Limitations of Multi-Layer SSMs23h◆From Weather to Enhanced Weathering: Weather Foundation Models for Carbon Dioxide Removal at Operational Scale23h◆Predictor-Guided Latent Space Codon Optimization for Maximizing Protein Expression23h◆A Generalisation Signal Need Not Be a Model-Selection Signal23h◆Mitigating Reward Hacking in Realistic Scenarios Through Representation Engineering23h◆OpenAI says it will no longer train its AI models on the live internet, citing “significant risks”4h◆Hottest toy for Christmas? Nvidia CEO plays with adorable Microduck robots, 20,000 sell5h◆OpenAI now trains its frontier AI models with no internet access6h◆Jack Dorsey’s Block made an AI model that talks to you like an awkward new friend8h◆From Toast to Bessemer: Who founders will hear from at TechCrunch Founder Summit 20268h◆The iPhone Duo should have been an iPad10h◆Rapidly scaling online storage to serve over 1 billion ChatGPT users (Part II)10h◆Now Google says it might use your Gmail and Google Photos data to target ads11h◆LitPivot: Developing research ideas through dynamic contextualization within the literature landscape11h◆Meta delays new business terms after publisher pushback on AI scraping13h◆Retro gaming is being overrun with AI15h◆Securing our frontier model training environment17h◆VeriEvolve: Evaluator-First Evolution for Tool-Using Agents23h◆TNODEV: Toolbox for Neural ODE Verification23h◆Learning to Interfere in Non-Orthogonal Multiple-Access Joint Source-Channel Coding23h◆On the Expressive Power and Limitations of Multi-Layer SSMs23h◆From Weather to Enhanced Weathering: Weather Foundation Models for Carbon Dioxide Removal at Operational Scale23h◆Predictor-Guided Latent Space Codon Optimization for Maximizing Protein Expression23h◆A Generalisation Signal Need Not Be a Model-Selection Signal23h◆Mitigating Reward Hacking in Realistic Scenarios Through Representation Engineering23h◆
News/FlowLM: Few-Step Language Modeling via Diffusion-to-Flow Adaptation
arxiv
PublishedMay 22, 2026 at 4:00 AM
▲bullish

FlowLM: Few-Step Language Modeling via Diffusion-to-Flow Adaptation

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

arXiv:2605.20199v1 Announce Type: cross Abstract: We present FlowLM, a flow matching language model transformed from pre-trained diffusion language models via efficient fine-tuning. By re-aligning the curved sampling trajectories of diffusion models into straight-line flows, FlowLM enables high qual

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
Mentioned models
01
  • 01
    FlowLM
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#language-models#diffusion#fine-tuning

No replies yet. Be first.

Mentioned models
01
  • 01
    FlowLM
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#language-models#diffusion#fine-tuning

Related coverage

More from ARXIV
arxivVeriEvolve: Evaluator-First Evolution for Tool-Using Agents23harxivTNODEV: Toolbox for Neural ODE Verification23harxivLearning to Interfere in Non-Orthogonal Multiple-Access Joint Source-Channel Coding23harxivOn the Expressive Power and Limitations of Multi-Layer SSMs23h
The Bubble Brief
MON · WED · FRI

Read language-models 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