Fine-tuning on ViGGO (val)
94AccuracyFull
Evaluation Results
| Method | Links | |
|---|---|---|
| FullSampling Ratio=100%, Backbone=Llama3-8B, Embeddings=BERT2026.06 | 94 | |
| Low-rank SS (ours)Sampling Ratio=25%, Backbone=Llama3-8B, Embeddings=BERT2026.06 | 88.3 | |
| Clustering-based SSSampling Ratio=25%, Backbone=Llama3-8B, Embeddings=BERT2026.06 | 86.6 | |
| Uniform SamplingSampling Ratio=25%, Backbone=Llama3-8B, Embeddings=BERT2026.06 | 86.3 | |
| Graph CutSampling Ratio=25%, Backbone=Llama3-8B, Embeddings=BERT2026.06 | 81.7 | |
| K-CenterSampling Ratio=25%, Backbone=Llama3-8B, Embeddings=BERT2026.06 | 80.3 | |
| Clustering-based SSSampling Ratio=12.5%, Backbone=Llama3-8B, Embeddings=BERT2026.06 | 72.8 | |
| Low-rank SS (ours)Sampling Ratio=12.5%, Backbone=Llama3-8B, Embeddings=BERT2026.06 | 69.7 | |
| Uniform SamplingSampling Ratio=12.5%, Backbone=Llama3-8B, Embeddings=BERT2026.06 | 68.3 | |
| Graph CutSampling Ratio=12.5%, Backbone=Llama3-8B, Embeddings=BERT2026.06 | 58.6 | |
| K-CenterSampling Ratio=12.5%, Backbone=Llama3-8B, Embeddings=BERT2026.06 | 51 | |
| Clustering-based SSSampling Ratio=6.25%, Backbone=Llama3-8B, Embeddings=BERT2026.06 | 30.3 | |
| Low-rank SS (ours)Sampling Ratio=6.25%, Backbone=Llama3-8B, Embeddings=BERT2026.06 | 28.8 | |
| Uniform SamplingSampling Ratio=6.25%, Backbone=Llama3-8B, Embeddings=BERT2026.06 | 26.2 | |
| K-CenterSampling Ratio=6.25%, Backbone=Llama3-8B, Embeddings=BERT2026.06 | 25.5 | |
| Graph CutSampling Ratio=6.25%, Backbone=Llama3-8B, Embeddings=BERT2026.06 | 13.6 |