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SotA/Methodology/Constrained Clustering/OCW

Constrained Clustering on OCW

Metric: Wasserstein Distance (WD) (higher is better)

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#Model↕ Wasserstein Distance (WD)▼AugmentationsPaperDate↕Code
1GPT-3.5-turbo (0-shot)82.5YesGPT-4 Technical Report2023-03-15Code
2GPT-3.5-turbo (1-shot)82.3YesGPT-4 Technical Report2023-03-15Code
3GPT-3.5-turbo (10-shot)81.2YesGPT-4 Technical Report2023-03-15Code
4GPT-3.5-turbo (3-shot)80.9YesGPT-4 Technical Report2023-03-15Code
5GPT-3.5-turbo (5-shot)80.6YesGPT-4 Technical Report2023-03-15Code
6GPT-4 (0-shot)75.8YesGPT-4 Technical Report2023-03-15Code
7GPT-4 (3-shot)73.7YesGPT-4 Technical Report2023-03-15Code
8GPT-4 (100-shot)73.6YesGPT-4 Technical Report2023-03-15Code
9GPT-4 (1-shot)73.4YesGPT-4 Technical Report2023-03-15Code
10GPT-4 (5-shot)72.9YesGPT-4 Technical Report2023-03-15Code