Emotion Classification on TE-Emo
76.48AccuracyBase LLM
Evaluation Results
| Method | Links | |
|---|---|---|
| Base LLMBackbone Model=Mistral, Shot Count=16-shot2025.05 | 76.48 | |
| Base LLMModel=Mistral, k-shot=162025.05 | 76.48 | |
| Base LLMBackbone Model=Llama, Shot Count=16-shot2025.05 | 73.2 | |
| Base LLMModel=Llama, k-shot=162025.05 | 73.2 | |
| SCBackbone Model=Mistral, Shot Count=16-shot2025.05 | 68.05 | |
| SCModel=Mistral, k-shot=162025.05 | 68.05 | |
| SCBackbone Model=Llama, Shot Count=16-shot2025.05 | 66.64 | |
| SCModel=Llama, k-shot=162025.05 | 66.64 | |
| SCBackbone Model=Qwen, Shot Count=16-shot2025.05 | 60.23 | |
| SCModel=Qwen, k-shot=162025.05 | 60.23 | |
| BCBackbone Model=Qwen, Shot Count=16-shot2025.05 | 55.55 | |
| BCModel=Qwen, k-shot=162025.05 | 55.55 | |
| DCBackbone Model=Mistral, Shot Count=16-shot2025.05 | 55.23 | |
| DCModel=Mistral, k-shot=162025.05 | 55.23 | |
| Base LLMBackbone Model=Qwen, Shot Count=16-shot2025.05 | 55.08 | |
| Base LLMModel=Qwen, k-shot=162025.05 | 55.08 | |
| BCBackbone Model=Mistral, Shot Count=16-shot2025.05 | 55 | |
| BCModel=Mistral, k-shot=162025.05 | 55 | |
| CCBackbone Model=Llama, Shot Count=16-shot2025.05 | 54.77 | |
| CCModel=Llama, k-shot=162025.05 | 54.77 | |
| CCBackbone Model=Mistral, Shot Count=16-shot2025.05 | 54.53 | |
| CCModel=Mistral, k-shot=162025.05 | 54.53 | |
| BCBackbone Model=Llama, Shot Count=16-shot2025.05 | 54.3 | |
| BCModel=Llama, k-shot=162025.05 | 54.3 | |
| CCBackbone Model=Qwen, Shot Count=16-shot2025.05 | 53.67 | |
| CCModel=Qwen, k-shot=162025.05 | 53.67 | |
| DCBackbone Model=Qwen, Shot Count=16-shot2025.05 | 53.59 | |
| DCModel=Qwen, k-shot=162025.05 | 53.59 | |
| DCBackbone Model=Llama, Shot Count=16-shot2025.05 | 52.66 | |
| DCModel=Llama, k-shot=162025.05 | 52.66 |