Analyzing Large Language Models for Commonsense Knowledge Graph Question Answering

The author proposes a verifiable methodology, R3, for answering commonsense questions using Large Language Models (LLMs) by grounding reasoning steps on KG triples and surfacing intrinsic commonsense knowledge. R3 outperforms existing methodologies in reducing hallucination and reasoning errors.