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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 110 of 136 papers

TitleStatusHype
SPINACH: SPARQL-Based Information Navigation for Challenging Real-World QuestionsCode2
Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented GenerationCode2
ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language ModelsCode2
KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree SearchCode1
CypherBench: Towards Precise Retrieval over Full-scale Modern Knowledge Graphs in the LLM EraCode1
Paths-over-Graph: Knowledge Graph Empowered Large Language Model ReasoningCode1
Interactive-KBQA: Multi-Turn Interactions for Knowledge Base Question Answering with Large Language ModelsCode1
Triad: A Framework Leveraging a Multi-Role LLM-based Agent to Solve Knowledge Base Question AnsweringCode1
Benchmarking Geospatial Question Answering Engines using the Dataset GeoQuestions1089Code1
Bridging the KB-Text Gap: Leveraging Structured Knowledge-aware Pre-training for KBQACode1
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