Papers with KG quality

1 papers
LLMs as Knowledge Graph Refiners: Mitigating Factual Inconsistencies in Generative Knowledge Extraction (2026.acl-long)

Copied to clipboard

Challenge: Knowledge graphs (KGs) represent real-world entities and their relations in a structured form.
Approach: They propose a framework that performs triple-level refinement on KGs constructed via GKE.
Outcome: The proposed framework improves KG quality from diverse perspectives.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations