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Sara Falahatkar

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#large language models Dataset Open access Oct 2026

CORE-LLM-Bench: A Controlled Neurosymbolic Benchmark for Ontology-Grounded Reasoning in Large Language Models

CORE-LLM-Bench is a controlled neurosymbolic benchmark for evaluating ontology-grounded reasoning in large language models. Version 1.1.1 is a corrective release that supersedes v1.1.0 for future use. It contains 9,048 unique question-hop instances: 6,032 binary question-answering (BQA) instances and 3,016 open-ended q...

Julie Loesch, Sara Falahatkar, Nicole Kilk et al. · 0 citations

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