Question Answering On Nq Beir
Metrics
nDCG@10
Results
Performance results of various models on this benchmark
Model Name | nDCG@10 | Paper Title | Repository |
|---|---|---|---|
| Blended RAG | 0.67 | Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers | |
| SGPT-BE-5.8B | 0.524 | SGPT: GPT Sentence Embeddings for Semantic Search | |
| SGPT-CE-6.1B | 0.401 | SGPT: GPT Sentence Embeddings for Semantic Search | |
| ColBERT | 0.524 | BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models | |
| BM25+CE | 0.533 | BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models | |
| monoT5-3B | 0.633 | No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot Retrieval |
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