knowledge-based question answering ↔ Large Language Models

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related 2.00 — strongly supporting 3 facts

Large Language Models are utilized as the core engine for knowledge-based question answering frameworks, as evidenced by the development of ChatKBQA [1], Interactive-KBQA [2], and the Keqing chain-of-thought mentor [3].

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Large Language Models Meet Knowledge Graphs for Question ... arxiv.org arXiv 2 facts

referenceWang et al. (2023) introduced 'keqing', a knowledge-based question answering framework that acts as a chain-of-thought mentor for large language models.

referenceGuanming Xiong, Junwei Bao, and Wen Zhao authored 'Interactive-KBQA: Multi-turn interactions for knowledge base question answering with large language models', published in the 2024 ACL proceedings.

Practices, opportunities and challenges in the fusion of knowledge ... frontiersin.org Frontiers 1 fact

referenceLuo et al. (2023) introduced 'ChatKBQA', a generate-then-retrieve framework for knowledge base question answering using fine-tuned large language models, in the preprint 'Chatkbqa: a generate-then-retrieve framework for knowledge base question answering with fine-tuned large language models'.