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ARK-V1: An LLM-Agent for Knowledge Graph Question Answering Requiring Commonsense Reasoning*
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ARK-V1 is an LLM-agent architecture designed for Knowledge Graph Question Answering. It leverages an LLM as a backbone to iteratively explore a KG through a sequence of steps including anchor selection, relation selection, and triple inference, all performed during the inference stage. This process enables the LLM to access and reason over external, structured knowledge from the KG to answer complex natural language queries, thereby enhancing the LLM's factual accuracy and domain-specific reasoning capabilities.
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