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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 51–60 of 136 papers

TitleStatusHype
A Learn-Then-Reason Model Towards Generalization in Knowledge Base Question Answering—0
Temporal Knowledge Graph Question Answering: A Survey—0
MASSIVE Multilingual Abstract Meaning Representation: A Dataset and Baselines for Hallucination Detection—0
RetinaQA: A Robust Knowledge Base Question Answering Model for both Answerable and Unanswerable QuestionsCode0
Fine-Grained Stateful Knowledge Exploration: A Novel Paradigm for Integrating Knowledge Graphs with Large Language ModelsCode0
How Proficient Are Large Language Models in Formal Languages? An In-Depth Insight for Knowledge Base Question Answering—0
Relation-Aware Question Answering for Heterogeneous Knowledge GraphsCode0
Few-shot Transfer Learning for Knowledge Base Question Answering: Fusing Supervised Models with In-Context LearningCode0
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
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