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Models/MetaGen Blended RAG

MetaGen Blended RAG

Reported on 6 benchmarks across 5 tasks · 1 paper · 6 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology3 results

RetrievalonPubMedQA
Accuracy (Top-1)· 2025-05-23
82.1
SOTA
MetaGen Blended RAG: Higher Accuracy for Domain-Specific Q&A Without Fine-Tuning arXiv:2505.18247
RetrievalonPubMedQA corpus with metadata
Accuracy (Top-1)· 2025-05-23
82.1
SOTA
MetaGen Blended RAG: Higher Accuracy for Domain-Specific Q&A Without Fine-Tuning arXiv:2505.18247
Large Language ModelonPubMedQA corpus with metadata
ANS-EM· 2025-05-23
77.9
SOTA
MetaGen Blended RAG: Higher Accuracy for Domain-Specific Q&A Without Fine-Tuning arXiv:2505.18247

Knowledge Base2 results

Knowledge GraphsonPubMedQA corpus with metadata
ANS-EM· 2025-05-23
77.9
SOTA
MetaGen Blended RAG: Higher Accuracy for Domain-Specific Q&A Without Fine-Tuning arXiv:2505.18247
Knowledge Graph CompletiononPubMedQA corpus with metadata
ANS-EM· 2025-05-23
77.9
SOTA
MetaGen Blended RAG: Higher Accuracy for Domain-Specific Q&A Without Fine-Tuning arXiv:2505.18247

Natural Language Processing1 result

Inductive knowledge graph completiononPubMedQA corpus with metadata
ANS-EM· 2025-05-23
77.9
SOTA
MetaGen Blended RAG: Higher Accuracy for Domain-Specific Q&A Without Fine-Tuning arXiv:2505.18247