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Knowledge Base Question Answering

Knowledge Base Q&A is the task of answering questions from a knowledge base.

( Image credit: Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering )

Papers

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Showing 1–10 of 136 papers

TitleStatusHype
ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language ModelsCode2
SPINACH: SPARQL-Based Information Navigation for Challenging Real-World QuestionsCode2
Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented GenerationCode2
Fine-tuned LLMs Know More, Hallucinate Less with Few-Shot Sequence-to-Sequence Semantic Parsing over WikidataCode1
Bridging the KB-Text Gap: Leveraging Structured Knowledge-aware Pre-training for KBQACode1
Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge BasesCode1
A Sequential Flow Control Framework for Multi-hop Knowledge Base Question AnsweringCode1
ArcaneQA: Dynamic Program Induction and Contextualized Encoding for Knowledge Base Question AnsweringCode1
Benchmarking Geospatial Question Answering Engines using the Dataset GeoQuestions1089Code1
A Universal Question-Answering Platform for Knowledge GraphsCode1
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