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Found 2 papers, 1 papers with code
CR-LT-KGQA: A Knowledge Graph Question Answering Dataset Requiring Commonsense Reasoning and Long-Tail Knowledge
In this work, we seek a novel KGQA dataset that supports commonsense reasoning and focuses on long-tail entities (e. g., non-mainstream and recent entities) where LLMs frequently hallucinate, and thus create the need for novel methodologies that leverage the KG for factual and attributable commonsense inference.
Right for Right Reasons: Large Language Models for Verifiable Commonsense Knowledge Graph Question Answering
Knowledge Graph Question Answering (KGQA) methods seek to answer Natural Language questions using the relational information stored in Knowledge Graphs (KGs).
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