SourceArXiv AI•Stalecollected in 19h
LLM Competency Questions Cross-Domain Study
#competency-questions#ontology-engineering#llm-evaluationllm-generated-cqsllama3geminigpt-4arxiv
💡See how open/closed LLMs differ in ontology CQ generation across domains.
⚡ 30-Second TL;DR
What Changed
Introduces metrics for CQ evaluation: readability, input relevance, structural complexity.
Why It Matters
Automates CQ elicitation, democratizing ontology engineering and expanding stakeholder access via Generative AI.
What To Do Next
Test Llama3.1-8B on your domain scenarios to generate and evaluate CQs.
Who should care:Researchers & Academics
Key Points
- •Introduces metrics for CQ evaluation: readability, input relevance, structural complexity.
- •Tests open LLMs (KimiK2-1T, Llama3.1-8B, Llama3.2-3B) vs closed (Gemini 2.5 Pro, GPT 4.1).
- •Identifies use-case-specific LLM generation profiles in ontology requirements.
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Original source: ArXiv AI ↗
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