Ontology-Grounded, Reasoner-Verified Benchmarks for Evaluating LLM Reasoning in Scientific AI

arXiv:2610.00682 · cs.AI, cs.LG · Submitted 2026-09-30 · Read on arXiv

cs.AI, cs.LG

Submitted: 2026-09-30

Updated: 2026-09-30

Comments: 17 pages, 2 figures. Accepted at the AI Data Readiness for Scientific Discovery (AIDaR) Workshop at the 40th Conference on Neural Information Processing Systems (NeurIPS 2026), Paris

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Benchmark — 1× in this paper · explained in 2 episodes
• Ontology — 1× in this paper · explained in 2 episodes

Sources

• Logical Reasoning in Large Language Models: A Survey
• Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG
• Enhancing Large Language Models through Neuro-Symbolic Integration and Ontological Reasoning
• OntoURL: A Benchmark for Evaluating Large Language Models on Symbolic Ontological Understanding, Reasoning and Learning

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