QUASAR, proposed by Christmann and Weikum (2024), enhances RAG-based Question Answering by integrating unstructured text, structured tables, and Knowledge Graphs, while re-ranking and filtering relevant evidence.

Authors

• Person: Not available Organization: arXiv
  Large Language Models Meet Knowledge Graphs for Question ...

Sources

• Large Language Models Meet Knowledge Graphs for Question ... arxiv.org arXiv via serper

Referenced by nodes (4)

• knowledge graphs concept
• RAG concept
• Question Answering concept
• unstructured text concept