| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| Dolly-15K alpha=5.0 | FedHDS | Rouge-L35.79 | 22 | 3d ago | |
| Dolly-15K alpha=0.5 | Coreset-Cent | Rouge-L35.48 | 22 | 3d ago | |
| Natural Instructions Meta Non-IID | Coreset-Cent | Rouge-L34.81 | 22 | 3d ago | |
| Instruction Tuning Datasets 1.0 (train test) | K-Center-Greedy | Model Performance1.45 | 20 | 4d ago | |
| Alpaca instruction-tuning 52k | GRADFILTERING | Pairwise Winning Score116 | 19 | 4d ago | |
| IT Evaluation Suite MMLU, BBH, GSM, TydiQA, CodeX, AE | Alpaca-GPT4 | MMLU55.7 | 18 | 4d ago | |
| Data Mix | GRADIENTSPACE | Accuracy59.1 | 16 | 4d ago | |
| Alpaca 52K instruction LLaMA-7B (test) | DQ (2%) | BBH32.9 | 4 | 4d ago | |
| Anthropic HH (test) | SCAR | Win Rate56.3 | 2 | 3d ago | |
| Anthropic HH-RLHF (test) | - | - | 0 | 4d ago | |
| Dolly-15K | - | - | 0 | 4d ago |
