Entity Resolution On Abt Buy
Metriken
F1 (%)
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | F1 (%) |
|---|---|
| supervised-contrastive-learning-for-product | 94.29 |
| domain-adaptation-for-deep-entity-resolution | 72.60 |
| fine-tuning-large-language-models-for-entity | 56.57 |
| fine-tuning-large-language-models-for-entity | 79.12 |
| entity-matching-using-large-language-models | 95.78 |
| fine-tuning-large-language-models-for-entity | 87.34 |
| probing-the-robustness-of-pre-trained | 90.90 |
| profiling-entity-matching-benchmark-tasks | 85.00 |
| dual-objective-fine-tuning-of-bert-for-entity | 83.44 |
| deduplication-over-heterogeneous-attribute | 53.9 |
| fine-tuning-large-language-models-for-entity | 92.20 |
| fine-tuning-large-language-models-for-entity | 94.09 |
| fine-tuning-large-language-models-for-entity | 87.68 |
| deep-entity-matching-with-pre-trained | 89.33 |
| entity-resolution-with-hierarchical-graph | 89.8 |
| deep-learning-for-entity-matching-a-design | 62.80 |