Attribute Value Extraction On Wdc Pave
Métriques
F1-Score
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | F1-Score | Paper Title | Repository |
|---|---|---|---|
| SU-OpenTag | 60.44 | Using LLMs for the Extraction and Normalization of Product Attribute Values | |
| GPT-4_10_example_values_&_10_demonstrations | 90.54 | Using LLMs for the Extraction and Normalization of Product Attribute Values | |
| AVEQA | 80.83 | Using LLMs for the Extraction and Normalization of Product Attribute Values | |
| MAVEQA | 65.10 | Using LLMs for the Extraction and Normalization of Product Attribute Values | |
| GPT-3.5_10_example_values_&_10_demonstrations | 88.02 | Using LLMs for the Extraction and Normalization of Product Attribute Values |
0 of 5 row(s) selected.