The paper 'KGQAGen: Diagnosing and Addressing Pitfalls in KG-RAG Datasets, toward More Reliable Benchmarking' (2025) focuses on diagnosing and addressing pitfalls in knowledge graph retrieval-augmented generation datasets to improve benchmarking reliability.

Authors

• Person: Not available Organization: GitHub
  LLM-KG4QA: Large Language Models and Knowledge Graphs for ...

Sources

• LLM-KG4QA: Large Language Models and Knowledge Graphs for ... github.com GitHub via serper

Referenced by nodes (1)

• Knowledge Graph-based Retrieval Augmented Generation concept