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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 41–50 of 136 papers

TitleStatusHype
Make a Choice! Knowledge Base Question Answering with In-Context Learning—0
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
From Parse-Execute to Parse-Execute-Refine: Improving Semantic Parser for Complex Question Answering over Knowledge Base—0
Pay More Attention to Relation Exploration for Knowledge Base Question Answering—0
Few-shot In-context Learning for Knowledge Base Question AnsweringCode1
GETT-QA: Graph Embedding based T2T Transformer for Knowledge Graph Question AnsweringCode0
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
Improving Complex Knowledge Base Question Answering via Question-to-Action and Question-to-Question AlignmentCode0
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