·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Google built a great smart speaker, but Gemini isn’t ready for it1h◆Diffusion-warm sampling of the XY model enables fast thermalization at scale9h◆BLUEX v2: Benchmarking LLMs on Open-Ended Questions from Brazilian University Entrance Exams9h◆Representing Research Attention as Contextually Structured Flows9h◆From Idea to Prototype in an Afternoon: Scaffolded, AI-Assisted Rapid VA Prototyping9h◆3D HAMSTER: Bridging Planning and Control in Hierarchical Vision Language Action Models through 3D Trajectory Guidance9h◆Improving LLM Reasoning with Homophily-aware Structural and Semantic Text-Attributed Graph Compression9h◆Paper2Rebuttal: A Multi-Agent Framework for Transparent Author Response Assistance9h◆When to Re-Plan: Subgoal Persistence in Hierarchical Latent Reasoning9h◆DSH-Bench: A Difficulty- and Scenario-Aware Benchmark with Hierarchical Subject Taxonomy for Subject-Driven Text-to-Image Generation9h◆PSCT-Net: Geometry-Aware Pediatric Skull CT Reconstruction via Differentiable Back-Projection and Attention-Guided Refinement9h◆Topological Neural Dynamics: A Neuron-wise Framework for Sequence Modeling9h◆BREIT: A Framework for Brain Stroke Reconstruction using Multi-Frequency 3D EIT9h◆From Propositional to Perceptual Asymmetry: Extending Frictive Policy Optimization to Asymmetric Partial Information Dialogue9h◆Measuring Judgment Quality in Natural-Language Explanations: Evidence from Forecasting Tournaments9h◆CORTEX: Token-Level Hallucination Detection in RAG via Comparative Internal Representations9h◆When the Database Fails: Prompting LLM Dialogue Agents for Safe Recovery in Task-Oriented Dialogue9h◆Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck9h◆Clinically Structured Rank-Gated LoRA for Cross-Benchmark Medical Question Answering9h◆Building an ASR Solution for Training and Assessing Children's Reading9h◆Google built a great smart speaker, but Gemini isn’t ready for it1h◆Diffusion-warm sampling of the XY model enables fast thermalization at scale9h◆BLUEX v2: Benchmarking LLMs on Open-Ended Questions from Brazilian University Entrance Exams9h◆Representing Research Attention as Contextually Structured Flows9h◆From Idea to Prototype in an Afternoon: Scaffolded, AI-Assisted Rapid VA Prototyping9h◆3D HAMSTER: Bridging Planning and Control in Hierarchical Vision Language Action Models through 3D Trajectory Guidance9h◆Improving LLM Reasoning with Homophily-aware Structural and Semantic Text-Attributed Graph Compression9h◆Paper2Rebuttal: A Multi-Agent Framework for Transparent Author Response Assistance9h◆When to Re-Plan: Subgoal Persistence in Hierarchical Latent Reasoning9h◆DSH-Bench: A Difficulty- and Scenario-Aware Benchmark with Hierarchical Subject Taxonomy for Subject-Driven Text-to-Image Generation9h◆PSCT-Net: Geometry-Aware Pediatric Skull CT Reconstruction via Differentiable Back-Projection and Attention-Guided Refinement9h◆Topological Neural Dynamics: A Neuron-wise Framework for Sequence Modeling9h◆BREIT: A Framework for Brain Stroke Reconstruction using Multi-Frequency 3D EIT9h◆From Propositional to Perceptual Asymmetry: Extending Frictive Policy Optimization to Asymmetric Partial Information Dialogue9h◆Measuring Judgment Quality in Natural-Language Explanations: Evidence from Forecasting Tournaments9h◆CORTEX: Token-Level Hallucination Detection in RAG via Comparative Internal Representations9h◆When the Database Fails: Prompting LLM Dialogue Agents for Safe Recovery in Task-Oriented Dialogue9h◆Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck9h◆Clinically Structured Rank-Gated LoRA for Cross-Benchmark Medical Question Answering9h◆Building an ASR Solution for Training and Assessing Children's Reading9h◆
News/Multistage Defer Trees for Hybrid Interpretability: If at First You Can't Succeed, Tree Again
arxiv
PublishedJuly 1, 2026 at 4:00 AM
—neutral

Multistage Defer Trees for Hybrid Interpretability: If at First You Can't Succeed, Tree Again

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

arXiv:2606.30995v1 Announce Type: new Abstract: Recent work has shown that well-optimized individual decision trees can match complex black box models in some settings, primarily in noisy domains. For the remaining settings, however, complex ensembled compositions of trees often achieve higher accur

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
arxivDiffusion-warm sampling of the XY model enables fast thermalization at scale9harxivBLUEX v2: Benchmarking LLMs on Open-Ended Questions from Brazilian University Entrance Exams9harxivRepresenting Research Attention as Contextually Structured Flows9harxivFrom Idea to Prototype in an Afternoon: Scaffolded, AI-Assisted Rapid VA Prototyping9h
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