Question Answering On Hotpotqa Beir
Métriques
nDCG@10
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | nDCG@10 | Paper Title | Repository |
|---|---|---|---|
| SGPT-CE-6.1B | 0.699 | SGPT: GPT Sentence Embeddings for Semantic Search | |
| SGPT-BE-5.8B | 0.593 | SGPT: GPT Sentence Embeddings for Semantic Search | |
| monoT5-3B | 0.759 | No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot Retrieval | |
| BM25+CE | 0.707 | BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models |
0 of 4 row(s) selected.