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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

Showing 1120 of 136 papers

TitleStatusHype
FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question AnsweringCode1
Question Decomposition Tree for Answering Complex Questions over Knowledge BasesCode1
Fine-tuned LLMs Know More, Hallucinate Less with Few-Shot Sequence-to-Sequence Semantic Parsing over WikidataCode1
SRTK: A Toolkit for Semantic-relevant Subgraph RetrievalCode1
Few-shot In-context Learning for Knowledge Base Question AnsweringCode1
Can ChatGPT Replace Traditional KBQA Models? An In-depth Analysis of the Question Answering Performance of the GPT LLM FamilyCode1
A Universal Question-Answering Platform for Knowledge GraphsCode1
Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World EnvironmentsCode1
A Sequential Flow Control Framework for Multi-hop Knowledge Base Question AnsweringCode1
ArcaneQA: Dynamic Program Induction and Contextualized Encoding for Knowledge Base Question AnsweringCode1
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