Question Answering on XQuAD (Accuracy)
64.26AccuracyCC-TUNING+MT
Evaluation Results
| Method | Links | |
|---|---|---|
| CC-TUNING+MTModel Backbone=Qwen2.5-7B2025.06 | 64.26 | |
| ML-SFT+MTModel Backbone=Qwen2.5-7B2025.06 | 64.03 | |
| CC-TUNINGModel Backbone=Qwen2.5-7B2025.06 | 63.72 | |
| ML-SFTModel Backbone=Qwen2.5-7B2025.06 | 63.61 | |
| CC-TUNING+ENModel Backbone=Qwen2.5-7B2025.06 | 62.69 | |
| ML-SFT+ENModel Backbone=Qwen2.5-7B2025.06 | 62.34 | |
| CC-TUNINGModel Backbone=LLaMA-3.1-8B2025.06 | 61.85 | |
| CC-TUNING+MTModel Backbone=LLaMA-3.1-8B2025.06 | 61.55 | |
| CC-TUNING+ENModel Backbone=LLaMA-3.1-8B2025.06 | 60.8 | |
| ML-SFTModel Backbone=LLaMA-3.1-8B2025.06 | 60.42 | |
| ML-SFT+MTModel Backbone=LLaMA-3.1-8B2025.06 | 58.4 | |
| ML-SFT+ENModel Backbone=LLaMA-3.1-8B2025.06 | 57.4 |