·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Lovable signs multiyear deal with Google Cloud to up usage 5x, source says5h◆Alphabet’s record-breaking $85B raise for Google’s AI business is a helluva good signal8h◆Google’s Dreambeans, its weirdest-named AI tool to date, will turn your life into a cartoon8h◆As AI gets better, it reveals an empty promise10h◆Amazon’s search bar will invent AI-generated products you can’t buy11h◆Amazon will show AI product images when you search for some reason12h◆These two founders left Goldman and Meta to build voice AI for markets everyone else overlooked12h◆Publishers will be able to opt out of AI Search, thanks to new regulation12h◆Microsoft and OpenAI broke up — now they’re ready to fight13h◆Meta’s AI agent for WhatsApp Business is now available globally14h◆Introducing new capabilities to GPT-Rosalind14h◆Coralogix raises $200M on bet that someone needs to watch the AI agents14h◆5 ways Google Search can level up your thrift and vintage shopping14h◆Direct Preference Optimization Beyond Chatbots15h◆How Wasmer used Codex to build a Node.js runtime for the edge15h◆OpenAI public policy agenda17h◆A blueprint for democratic governance of frontier AI17h◆AI has a water problem — Google thinks it has a fix18h◆Google must let publishers opt out of AI Search features, rules UK19h◆FederatedSkill: Federated Learning for Agentic Skill Evolution23h◆Lovable signs multiyear deal with Google Cloud to up usage 5x, source says5h◆Alphabet’s record-breaking $85B raise for Google’s AI business is a helluva good signal8h◆Google’s Dreambeans, its weirdest-named AI tool to date, will turn your life into a cartoon8h◆As AI gets better, it reveals an empty promise10h◆Amazon’s search bar will invent AI-generated products you can’t buy11h◆Amazon will show AI product images when you search for some reason12h◆These two founders left Goldman and Meta to build voice AI for markets everyone else overlooked12h◆Publishers will be able to opt out of AI Search, thanks to new regulation12h◆Microsoft and OpenAI broke up — now they’re ready to fight13h◆Meta’s AI agent for WhatsApp Business is now available globally14h◆Introducing new capabilities to GPT-Rosalind14h◆Coralogix raises $200M on bet that someone needs to watch the AI agents14h◆5 ways Google Search can level up your thrift and vintage shopping14h◆Direct Preference Optimization Beyond Chatbots15h◆How Wasmer used Codex to build a Node.js runtime for the edge15h◆OpenAI public policy agenda17h◆A blueprint for democratic governance of frontier AI17h◆AI has a water problem — Google thinks it has a fix18h◆Google must let publishers opt out of AI Search features, rules UK19h◆FederatedSkill: Federated Learning for Agentic Skill Evolution23h◆
News/Multi-Token Residual Prediction
arxiv
PublishedMay 20, 2026 at 4:00 AM
—neutral

Multi-Token Residual Prediction

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

arXiv:2605.18817v1 Announce Type: new Abstract: Diffusion Language Models (DLMs) generate text by iteratively denoising masked token sequences, offering a tradeoff between parallelism and quality compared to autoregressive models. In current practice, the number of tokens decoded per step is control

Stay posted· Newsletter

A 5-min weekly brief — top movers, price watch, story of the week.

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

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
arxivFederatedSkill: Federated Learning for Agentic Skill Evolution23h
The Bubble Brief
WEEKLY

Read AI insights every Tuesday — top movers, new releases, story of the week.

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

Originally published on arxiv ↗
HomeModelsNews