Text Classification on TE-Emo
75.39AccuracyBase LLM
Evaluation Results
| Method | Links | |
|---|---|---|
| Base LLMModel=Llama, k-shot=8, Seeds=52025.05 | 75.39 | |
| SCModel=Mistral, k-shot=8, Seeds=52025.05 | 75.16 | |
| Base LLMModel=Mistral, k-shot=8, Seeds=52025.05 | 74.3 | |
| SCModel=Llama, k-shot=8, Seeds=52025.05 | 73.52 | |
| Base LLMModel=Llama, Shots=42025.05 | 72.85 | |
| Base LLMModel=Mistral, Shots=42025.05 | 68.36 | |
| SCModel=Mistral, Shots=42025.05 | 65.23 | |
| SCModel=Qwen, k-shot=8, Seeds=52025.05 | 61.33 | |
| SCModel=Llama, Shots=42025.05 | 61.05 | |
| BCModel=Llama, Shots=42025.05 | 58.24 | |
| CCModel=Llama, Shots=42025.05 | 58.2 | |
| BCModel=Qwen, Shots=42025.05 | 57.85 | |
| DCModel=Llama, Shots=42025.05 | 57.77 | |
| BCModel=Qwen, k-shot=8, Seeds=52025.05 | 57.66 | |
| DCModel=Qwen, k-shot=8, Seeds=52025.05 | 56.88 | |
| Base LLMModel=Qwen, Shots=42025.05 | 56.41 | |
| CCModel=Llama, k-shot=8, Seeds=52025.05 | 55 | |
| BCModel=Llama, k-shot=8, Seeds=52025.05 | 54.77 | |
| DCModel=Mistral, k-shot=8, Seeds=52025.05 | 54.45 | |
| DCModel=Llama, k-shot=8, Seeds=52025.05 | 54.37 | |
| Base LLMModel=Qwen, k-shot=8, Seeds=52025.05 | 54.06 | |
| CCModel=Mistral, k-shot=8, Seeds=52025.05 | 53.75 | |
| BCModel=Mistral, k-shot=8, Seeds=52025.05 | 53.67 | |
| DCModel=Mistral, Shots=42025.05 | 53.36 | |
| BCModel=Mistral, Shots=42025.05 | 53.13 | |
| CCModel=Mistral, Shots=42025.05 | 52.27 | |
| CCModel=Qwen, k-shot=8, Seeds=52025.05 | 51.33 | |
| DCModel=Qwen, Shots=42025.05 | 48.44 | |
| SCModel=Qwen, Shots=42025.05 | 45.08 | |
| CCModel=Qwen, Shots=42025.05 | 37.58 |