2 papers
cs.CL2026
AgentKGV: Agentic LLM-RAG Framework with Two-Stage Training for the Fact Verification of Knowledge Graphs
Yumin Heo, Hyeon-gu Lee, Sumin Seo +1
Knowledge graphs (KGs) are often automatically constructed from large-scale corpora, but they inevitably contain factual errors due to noisy sources and extraction failures, and ve…
cs.CL2026
Predicate Importance Estimation and Decoupled Rationale-Score Distillation for Entity Alignment
Keunha Kim, Yoonjin Jang, Hyeon-gu Lee +2
Knowledge graphs (KGs) are increasingly used as structured context for Large Language Models (LLMs), but industrial KG-RAG systems often need to integrate public and domain-specifi…