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ResearchFormerly WizWand

Emotion Classification on TE-Emo

76.48AccuracyBase LLM
51.707258.138664.5771.0014May 22, 2025
Updated 8mo ago

Evaluation results

MethodLinks
Base LLMBackbone Model=Mistral, Shot Count=16-shot2025.0576.48
Base LLMModel=Mistral, k-shot=162025.0576.48
Base LLMBackbone Model=Llama, Shot Count=16-shot2025.0573.2
Base LLMModel=Llama, k-shot=162025.0573.2
SCBackbone Model=Mistral, Shot Count=16-shot2025.0568.05
SCModel=Mistral, k-shot=162025.0568.05
SCBackbone Model=Llama, Shot Count=16-shot2025.0566.64
SCModel=Llama, k-shot=162025.0566.64
SCBackbone Model=Qwen, Shot Count=16-shot2025.0560.23
SCModel=Qwen, k-shot=162025.0560.23
BCBackbone Model=Qwen, Shot Count=16-shot2025.0555.55
BCModel=Qwen, k-shot=162025.0555.55
DCBackbone Model=Mistral, Shot Count=16-shot2025.0555.23
DCModel=Mistral, k-shot=162025.0555.23
Base LLMBackbone Model=Qwen, Shot Count=16-shot2025.0555.08
Base LLMModel=Qwen, k-shot=162025.0555.08
BCBackbone Model=Mistral, Shot Count=16-shot2025.0555
BCModel=Mistral, k-shot=162025.0555
CCBackbone Model=Llama, Shot Count=16-shot2025.0554.77
CCModel=Llama, k-shot=162025.0554.77
CCBackbone Model=Mistral, Shot Count=16-shot2025.0554.53
CCModel=Mistral, k-shot=162025.0554.53
BCBackbone Model=Llama, Shot Count=16-shot2025.0554.3
BCModel=Llama, k-shot=162025.0554.3
CCBackbone Model=Qwen, Shot Count=16-shot2025.0553.67
CCModel=Qwen, k-shot=162025.0553.67
DCBackbone Model=Qwen, Shot Count=16-shot2025.0553.59
DCModel=Qwen, k-shot=162025.0553.59
DCBackbone Model=Llama, Shot Count=16-shot2025.0552.66
DCModel=Llama, k-shot=162025.0552.66