·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Opendoor’s India exit is fueling a bigger conversation about AI and outsourcing3h◆MODF-SIR: A Multi-agent Omni-modal Distilled Framework for Social Intelligence Reasoning3h◆The Environmental Cost of LLMs in AIED: Reporting and Practices3h◆TAHOE: Text-to-SQL with Automated Hint Optimization from Experience3h◆Position: Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!3h◆A New Perspective on Precision and Recall for Generative Models3h◆Generalizing Beyond Suboptimality: Offline Reinforcement Learning Learns Effective Scheduling through Random Solutions3h◆The Impossibility of Eliciting Latent Knowledge3h◆Mapping Scientific Literature with Large Language Models and Topic Modeling3h◆OmniBioTwin: A System-of-Twinned-Systems Framework for Health Digital Twins3h◆Grounding Computer Use Agents on Human Demonstrations3h◆SkillJuror: Measuring How Agent Skill Organization Changes Runtime Behavior3h◆HERO: Hindsight-Enhanced Reflection from Environment Observations for Agentic Self-Distillation3h◆Architecture-Aware Reinforcement Learning Makes Sliding-Window Attention Competitive in Math Reasoning3h◆TouchThinker: Scaling Tactile Commonsense Reasoning to the Open World with Large-scale Data and Action-aware Representation3h◆Skill-Augmented AI Agents for Medical Research Analysis: An Exploratory Multi-Model Human Evaluation in an NSCLC Transcriptomic Biomarker Task3h◆AutoMine Solution for AV2 2026 Scenario Mining Challenge3h◆Embodied-BenchClaw: An Autonomous Multi-Agent System for Embodied Spatial Intelligence Benchmark Construction3h◆IntElicit: Eliciting and Assessing Contextualized Creativity via Dialogue Policy Optimization3h◆A Five-Plane Reference Architecture for Runtime Governance of Production AI Agents3h◆Opendoor’s India exit is fueling a bigger conversation about AI and outsourcing3h◆MODF-SIR: A Multi-agent Omni-modal Distilled Framework for Social Intelligence Reasoning3h◆The Environmental Cost of LLMs in AIED: Reporting and Practices3h◆TAHOE: Text-to-SQL with Automated Hint Optimization from Experience3h◆Position: Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!3h◆A New Perspective on Precision and Recall for Generative Models3h◆Generalizing Beyond Suboptimality: Offline Reinforcement Learning Learns Effective Scheduling through Random Solutions3h◆The Impossibility of Eliciting Latent Knowledge3h◆Mapping Scientific Literature with Large Language Models and Topic Modeling3h◆OmniBioTwin: A System-of-Twinned-Systems Framework for Health Digital Twins3h◆Grounding Computer Use Agents on Human Demonstrations3h◆SkillJuror: Measuring How Agent Skill Organization Changes Runtime Behavior3h◆HERO: Hindsight-Enhanced Reflection from Environment Observations for Agentic Self-Distillation3h◆Architecture-Aware Reinforcement Learning Makes Sliding-Window Attention Competitive in Math Reasoning3h◆TouchThinker: Scaling Tactile Commonsense Reasoning to the Open World with Large-scale Data and Action-aware Representation3h◆Skill-Augmented AI Agents for Medical Research Analysis: An Exploratory Multi-Model Human Evaluation in an NSCLC Transcriptomic Biomarker Task3h◆AutoMine Solution for AV2 2026 Scenario Mining Challenge3h◆Embodied-BenchClaw: An Autonomous Multi-Agent System for Embodied Spatial Intelligence Benchmark Construction3h◆IntElicit: Eliciting and Assessing Contextualized Creativity via Dialogue Policy Optimization3h◆A Five-Plane Reference Architecture for Runtime Governance of Production AI Agents3h◆
News/CBT-Audio: Evaluating Audio Language Models for Patient-Side Distress Intensity Estimation in CBT Session Recordings
arxiv
PublishedMay 21, 2026 at 4:00 AM
—neutral

CBT-Audio: Evaluating Audio Language Models for Patient-Side Distress Intensity Estimation in CBT Session Recordings

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

arXiv:2605.17370v2 Announce Type: replace Abstract: Cognitive behavioural therapy is widely used to help patients understand and manage psychological distress. It is often delivered through spoken conversation, where therapists attend not only to what patients say, but also to how they say it, becau

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
arxivMODF-SIR: A Multi-agent Omni-modal Distilled Framework for Social Intelligence Reasoning3harxivThe Environmental Cost of LLMs in AIED: Reporting and Practices3harxivTAHOE: Text-to-SQL with Automated Hint Optimization from Experience3harxivPosition: Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!3h
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