arXiv (All)
open access
Crowd-OM: Crowdsourcing for Ontology Matching Validation
Recent advances in large language models (LLMs) pose new challenges for ontology matching (OM). While OM systems built on LLMs have shown remarkable capabilities in discovering more matching candidates, traditional OM validation that relies on domain experts has become overwhelming. Although crowdso
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Exploring Autonomous Agentic Data Engineering for Model Specialization#800049
- Quantifying Logical Consistency in Transformers via Query-Key Alignment#987415
- SynthAVE: Scalable Synthetic Labeling for E-Commerce with LLM-Arena Validation#798992
- SynthAVE: Scalable Synthetic Labeling for E-Commerce with LLM-Arena Validation#797578
- A2A-CaseVerify: Merkle-Linked Case-Evidence Verification for Cross-Organization A2A Workflows#1118987
Record · ID 984156
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive