concept

knowledge-based question answering

Also known as: knowledge-based question answering, knowledge base question answering

Facts (11)

Sources

Large Language Models Meet Knowledge Graphs for Question ... arxiv.org arXiv Sep 22, 2025 7 facts

referenceCAQA (Hu et al., 2024a) is a Knowledge-Based Question Answering (KBQA) dataset that evaluates complex reasoning and attribution.

referenceWebQSP (tau Yih et al., 2016) is a Knowledge-Based Question Answering (KBQA) dataset that includes SPARQL queries for knowledge-based question answering.

referenceDu et al. (2022) developed a knowledge-enhanced iterative instruction generation and reasoning method for knowledge base question answering, published in the NLPCC proceedings.

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.

referenceYih et al. (2016) analyzed the value of semantic parse labeling for knowledge base question answering.

referenceBioASQ-QA (Krithara et al., 2023) is a Knowledge-Based Question Answering (KBQA) dataset that includes exact and ideal answers for questions over multi-document summarization.

Practices, opportunities and challenges in the fusion of knowledge ... frontiersin.org Frontiers 2 facts

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'.

referenceSPINACH, introduced by Liu S. et al. in 2024, provides an expert-annotated knowledge base question answering (KBQA) dataset with in-context learning that outperforms GPT-4 on complex queries.

Empowering GraphRAG with Knowledge Filtering and Integration arxiv.org arXiv Mar 18, 2025 1 fact

referenceThe paper 'The value of semantic parse labeling for knowledge base question answering' was published in the Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 201–206.

Neuro-Symbolic AI: Explainability, Challenges, and Future Trends arxiv.org arXiv Nov 7, 2024 1 fact

referencePavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Salim Roukos, Alexander Gray, Ramon Astudillo, Maria Chang, Cristina Cornelio, Saswati Dana, Achille Fokoue, et al. authored 'Leveraging abstract meaning representation for knowledge base question answering', published as an arXiv preprint (arXiv:2012.01707) in 2020.