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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 11–20 of 136 papers

TitleStatusHype
Fine-tuned LLMs Know More, Hallucinate Less with Few-Shot Sequence-to-Sequence Semantic Parsing over WikidataCode1
ArcaneQA: Dynamic Program Induction and Contextualized Encoding for Knowledge Base Question AnsweringCode1
Complex Knowledge Base Question Answering: A SurveyCode1
CypherBench: Towards Precise Retrieval over Full-scale Modern Knowledge Graphs in the LLM EraCode1
A Sequential Flow Control Framework for Multi-hop Knowledge Base Question AnsweringCode1
Can ChatGPT Replace Traditional KBQA Models? An In-depth Analysis of the Question Answering Performance of the GPT LLM FamilyCode1
Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge BasesCode1
Benchmarking Geospatial Question Answering Engines using the Dataset GeoQuestions1089Code1
Bidirectional Attentive Memory Networks for Question Answering over Knowledge BasesCode1
Few-shot In-context Learning for Knowledge Base Question AnsweringCode1
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