·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
India becomes the latest country to report rogue AI agent activity51m◆An Nvidia insider-turned-VC on why robotics hasn’t hit its ChatGPT moment, yet2h◆Physical AI is more than robots, says the Nvidia veteran now investing in it2h◆Elorian’s first AI model wants to reason with images, not just about them2h◆Jev is Vercel’s fastest-adopted AI model ever3h◆A week with RTX Spark: everything we’ve learned using Nvidia’s new laptops3h◆Mark Wahlberg on using AI in film ‘the right way’ and being open to an AI clone carrying on his legacy4h◆Meta’s new terms may allow it to train AI on news sites for free4h◆Veritas expands its anti-counterfeit chip to jewelry, trophies, and fragrance bottles4h◆Replit’s CEO says the future of work is the ‘self-driving company’5h◆Optimal Hydra: Model Heterogeneous Federated Learning for LLMs using Data-Informed Hydra-Nets14h◆Judging the Judges: Confidence and Disagreement in Rubrics as Rewards14h◆Content associations with answer selection and engagement in supply chain community question answering14h◆ORACLE-SWE: Quantifying the Contribution of Critical Information Signals on SWE Agents14h◆REKI: Registering Knowledge in VLAs14h◆Multimodal Remote Inference14h◆HyCo: Hybrid Drafting for Cost-Efficient Mobile-Cloud Speculative Decoding14h◆Arithmetic Circuits and Neural Networks for Regular Matroids14h◆Linear Independence of Polynomial Compositions with Bounded Input Degree14h◆Training Reasoning Models to Generate Diverse Scientific Ideas14h◆India becomes the latest country to report rogue AI agent activity51m◆An Nvidia insider-turned-VC on why robotics hasn’t hit its ChatGPT moment, yet2h◆Physical AI is more than robots, says the Nvidia veteran now investing in it2h◆Elorian’s first AI model wants to reason with images, not just about them2h◆Jev is Vercel’s fastest-adopted AI model ever3h◆A week with RTX Spark: everything we’ve learned using Nvidia’s new laptops3h◆Mark Wahlberg on using AI in film ‘the right way’ and being open to an AI clone carrying on his legacy4h◆Meta’s new terms may allow it to train AI on news sites for free4h◆Veritas expands its anti-counterfeit chip to jewelry, trophies, and fragrance bottles4h◆Replit’s CEO says the future of work is the ‘self-driving company’5h◆Optimal Hydra: Model Heterogeneous Federated Learning for LLMs using Data-Informed Hydra-Nets14h◆Judging the Judges: Confidence and Disagreement in Rubrics as Rewards14h◆Content associations with answer selection and engagement in supply chain community question answering14h◆ORACLE-SWE: Quantifying the Contribution of Critical Information Signals on SWE Agents14h◆REKI: Registering Knowledge in VLAs14h◆Multimodal Remote Inference14h◆HyCo: Hybrid Drafting for Cost-Efficient Mobile-Cloud Speculative Decoding14h◆Arithmetic Circuits and Neural Networks for Regular Matroids14h◆Linear Independence of Polynomial Compositions with Bounded Input Degree14h◆Training Reasoning Models to Generate Diverse Scientific Ideas14h◆
News/AdaHome: An Adaptive Smart Home Assistant using Local Small Language Models
arxiv
PublishedJuly 23, 2026 at 4:00 AM
—neutral

AdaHome: An Adaptive Smart Home Assistant using Local Small Language Models

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

arXiv:2607.18034v2 Announce Type: replace Abstract: Smart home assistants interpret a wide range of user commands, from explicit device control to underspecified and preference dependent requests. While recent systems based on Large Language Models (LLMs) improve this capability, they often rely on

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
arxivOptimal Hydra: Model Heterogeneous Federated Learning for LLMs using Data-Informed Hydra-Nets14harxivJudging the Judges: Confidence and Disagreement in Rubrics as Rewards14harxivContent associations with answer selection and engagement in supply chain community question answering14harxivORACLE-SWE: Quantifying the Contribution of Critical Information Signals on SWE Agents14h
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