Latest Research in Multimodal Semantic Database Engineering

Top Research Topics in Multimodal Semantic Database Engineering

• Databases — 81 papers
• Computation and Language — 41 papers
• Artificial Intelligence — 29 papers
• Machine Learning — 19 papers
• Computer Vision and Pattern Recognition — 17 papers
• Scientific Computing and Data Management — 15 papers
• Information Retrieval — 13 papers
• Data Structures and Algorithms — 12 papers
• Advanced Database Systems and Queries — 10 papers
• Origins and Evolution of Life — 9 papers

Highest-Cited Papers

1. Human Restoration Theory: Core Architecture v1.0 - Definitions, Relations, Assumptions, Boundaries, and Testable Predictions (26 citations)
2. GradeSQL: Outcome reward models for intelligent Text-to-SQL generation from LLMs (1 citations)
3. Glyce: Glyph-vectors for Chinese Character Representations
4. ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information
5. Dual-Path LLM Reasoning for Multimodal Few-Shot Knowledge Graph Completion
6. AgentMap: Joint Equivalence and Subsumption Discovery for Ontology Matching
7. Revisiting the Algebraic Foundation of Relational Data
8. Semantic-Aware Temporal Adaptation for UAV Anti-UAV Tracking
9. Enhancing Generative Information Extraction with Two-step Validation: A Product Attribute Use Case
10. Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs
11. A Unified MRC Framework for Named Entity Recognition
12. D7.2 Infrastructure Implementation v1
13. D7.2 Infrastructure Implementation v1
14. Eric’s Corner NASA’s definition of life. What does it mean?
15. CHARM: A Multimodal Graph Foundation Model with Hierarchical Context Modeling for Zero-Shot Transfer
16. Entity Resolution in Practice: Lessons from a Self-Serve Pipeline
17. Toward a Unified Statistical Theory of Unsupervised Pretraining and Supervised Neural Knowledge Graph Learning
18. IRIS: Reusable Identity Representations from Frozen LLMs for Entity Alignment
19. Beyond Scale and Generation: Understanding Language Model-based Entity Matching
20. CONSISTRE: A Unified Consistency-Aware Framework for Document-Level Relation Extraction with Large Language Models

Sub-Regions

• Origins and Evolution of Life — 151 papers
• Databases — 150 papers
• Machine Learning — 85 papers
• Artificial Intelligence — 66 papers
• Scientific Computing and Data Management — 66 papers
• Computation and Language — 42 papers