·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Mira Murati steps back into the spotlight, carefully4h◆SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning5h◆Optical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning5h◆Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models5h◆Temporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents5h◆Why Muon Outperforms Adam: A Curvature Perspective5h◆Vision Hopfield Memory Networks5h◆Provably Auditable and Safe LLM Agents from Human-Authored Ontologies5h◆FlexRank: Nested Low-Rank Knowledge Decomposition for Adaptive Model Deployment5h◆Stable Deep Reinforcement Learning via Isotropic Gaussian Representations5h◆q0: Primitives for Hyper-Epoch Pretraining5h◆Formal Semantics for Agentic Tool Protocols: A Process Calculus Approach5h◆Proof-Carrying Agent Actions: Model-Agnostic Runtime Governance for Heterogeneous Agent Systems5h◆SymTRELLIS: Symmetry-Enforced Voxel Latents for 3D Generation5h◆AgenticDiffusion: Agentic Diffusion-based Path Planning for Vision-Based UAV Navigation5h◆Widening the Gap: Exploiting LLM Quantization via Outlier Injection5h◆Evaluating Zero-Shot and One-Shot Adaptation of Small Language Models in Leader-Follower Interaction5h◆SaliMory: Orchestrating Cognitive Memory for Conversational Agents5h◆Optimizing Explicit Unit-Distance Lower-Bound Certificates5h◆MedForge: Interpretable Medical Deepfake Detection via Forgery-aware Reasoning5h◆Mira Murati steps back into the spotlight, carefully4h◆SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning5h◆Optical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning5h◆Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models5h◆Temporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents5h◆Why Muon Outperforms Adam: A Curvature Perspective5h◆Vision Hopfield Memory Networks5h◆Provably Auditable and Safe LLM Agents from Human-Authored Ontologies5h◆FlexRank: Nested Low-Rank Knowledge Decomposition for Adaptive Model Deployment5h◆Stable Deep Reinforcement Learning via Isotropic Gaussian Representations5h◆q0: Primitives for Hyper-Epoch Pretraining5h◆Formal Semantics for Agentic Tool Protocols: A Process Calculus Approach5h◆Proof-Carrying Agent Actions: Model-Agnostic Runtime Governance for Heterogeneous Agent Systems5h◆SymTRELLIS: Symmetry-Enforced Voxel Latents for 3D Generation5h◆AgenticDiffusion: Agentic Diffusion-based Path Planning for Vision-Based UAV Navigation5h◆Widening the Gap: Exploiting LLM Quantization via Outlier Injection5h◆Evaluating Zero-Shot and One-Shot Adaptation of Small Language Models in Leader-Follower Interaction5h◆SaliMory: Orchestrating Cognitive Memory for Conversational Agents5h◆Optimizing Explicit Unit-Distance Lower-Bound Certificates5h◆MedForge: Interpretable Medical Deepfake Detection via Forgery-aware Reasoning5h◆
News/SemStruct: Contextualizing Semantic Embeddings with Structural Information for Schema Matching
arxiv
PublishedJune 1, 2026 at 4:00 AM

SemStruct: Contextualizing Semantic Embeddings with Structural Information for Schema Matching

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

arXiv:2605.30729v1 Announce Type: new Abstract: Schema matching is a fundamental step in integrating heterogeneous data sources. While Pre-trained Language Models (PLMs) have revolutionized this task by capturing linguistic semantics, they typically process tabular data as serialized text sequences

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
arxivSFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning5harxivOptical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning5harxivDynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models5harxivTemporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents5h
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