·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Roundtables: A Conversation With the Creator of AI-Designed Viruses2h◆India becomes the latest country to report rogue AI agent activity2h◆An Nvidia insider-turned-VC on why robotics hasn’t hit its ChatGPT moment, yet3h◆Physical AI is more than robots, says the Nvidia veteran now investing in it3h◆Elorian’s first AI model wants to reason with images, not just about them4h◆Jev is Vercel’s fastest-adopted AI model ever4h◆A week with RTX Spark: everything we’ve learned using Nvidia’s new laptops5h◆Mark Wahlberg on using AI in film ‘the right way’ and being open to an AI clone carrying on his legacy6h◆Meta’s new terms may allow it to train AI on news sites for free6h◆Veritas expands its anti-counterfeit chip to jewelry, trophies, and fragrance bottles6h◆Replit’s CEO says the future of work is the ‘self-driving company’7h◆Optimal Hydra: Model Heterogeneous Federated Learning for LLMs using Data-Informed Hydra-Nets16h◆Judging the Judges: Confidence and Disagreement in Rubrics as Rewards16h◆Content associations with answer selection and engagement in supply chain community question answering16h◆ORACLE-SWE: Quantifying the Contribution of Critical Information Signals on SWE Agents16h◆REKI: Registering Knowledge in VLAs16h◆Multimodal Remote Inference16h◆HyCo: Hybrid Drafting for Cost-Efficient Mobile-Cloud Speculative Decoding16h◆Arithmetic Circuits and Neural Networks for Regular Matroids16h◆Gibbs-Gap Policy Optimization for Off-Policy RL with Verifiable Rewards16h◆Roundtables: A Conversation With the Creator of AI-Designed Viruses2h◆India becomes the latest country to report rogue AI agent activity2h◆An Nvidia insider-turned-VC on why robotics hasn’t hit its ChatGPT moment, yet3h◆Physical AI is more than robots, says the Nvidia veteran now investing in it3h◆Elorian’s first AI model wants to reason with images, not just about them4h◆Jev is Vercel’s fastest-adopted AI model ever4h◆A week with RTX Spark: everything we’ve learned using Nvidia’s new laptops5h◆Mark Wahlberg on using AI in film ‘the right way’ and being open to an AI clone carrying on his legacy6h◆Meta’s new terms may allow it to train AI on news sites for free6h◆Veritas expands its anti-counterfeit chip to jewelry, trophies, and fragrance bottles6h◆Replit’s CEO says the future of work is the ‘self-driving company’7h◆Optimal Hydra: Model Heterogeneous Federated Learning for LLMs using Data-Informed Hydra-Nets16h◆Judging the Judges: Confidence and Disagreement in Rubrics as Rewards16h◆Content associations with answer selection and engagement in supply chain community question answering16h◆ORACLE-SWE: Quantifying the Contribution of Critical Information Signals on SWE Agents16h◆REKI: Registering Knowledge in VLAs16h◆Multimodal Remote Inference16h◆HyCo: Hybrid Drafting for Cost-Efficient Mobile-Cloud Speculative Decoding16h◆Arithmetic Circuits and Neural Networks for Regular Matroids16h◆Gibbs-Gap Policy Optimization for Off-Policy RL with Verifiable Rewards16h◆
News/When Rating Scales Fall Short: LLM-Assisted Discovery of ADHD Signals in Turkish Teacher Narratives
arxiv
PublishedJune 2, 2026 at 4:00 AM

When Rating Scales Fall Short: LLM-Assisted Discovery of ADHD Signals in Turkish Teacher Narratives

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

arXiv:2606.02509v1 Announce Type: new Abstract: Attention Deficit Hyperactivity Disorder (ADHD) is one of the most common neurodevelopmental disorders in childhood, and its diagnosis relies on assessments combining clinician judgment with standardized rating scales and reports from parents and teach

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-Nets16harxivJudging the Judges: Confidence and Disagreement in Rubrics as Rewards16harxivContent associations with answer selection and engagement in supply chain community question answering16harxivORACLE-SWE: Quantifying the Contribution of Critical Information Signals on SWE Agents16h
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