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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 26–50 of 136 papers

TitleStatusHype
Few-shot Transfer Learning for Knowledge Base Question Answering: Fusing Supervised Models with In-Context LearningCode0
Benchmarking Geospatial Question Answering Engines using the Dataset GeoQuestions1089Code1
In-Context Learning for Knowledge Base Question Answering for Unmanned Systems based on Large Language Models—0
Robust NL-to-Cypher Translation for KBQA: Harnessing Large Language Model with Chain of Prompts—0
An In-Context Schema Understanding Method for Knowledge Base Question Answering—0
ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language ModelsCode2
Data Distribution Bottlenecks in Grounding Language Models to Knowledge BasesCode0
Bridging the KB-Text Gap: Leveraging Structured Knowledge-aware Pre-training for KBQACode1
FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question AnsweringCode1
Question Answering over Linked Data with GPT-3Code0
ADMUS: A Progressive Question Answering Framework Adaptable to Multiple Knowledge Sources—0
VisKoP: Visual Knowledge oriented Programming for Interactive Knowledge Base Question Answering—0
FC-KBQA: A Fine-to-Coarse Composition Framework for Knowledge Base Question Answering—0
Question Decomposition Tree for Answering Complex Questions over Knowledge BasesCode1
Knowledge Base Question Answering for Space Debris QueriesCode0
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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