KG-Rank, proposed by Yang et al. (2024), uses re-ranking techniques based on relevance and redundancy scores to rank top triples from Knowledge Graphs, which are then combined with prompts to generate answers for Question Answering tasks.

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 (2)

• knowledge graphs concept
• Question Answering concept