List your company
ResearchFormerly WizWand

Hate Speech Detection on TE-Hate

74.22AccuracySC
37.24846.846556.44566.0435May 22, 2025
Updated 8mo ago

Evaluation results

MethodLinks
SCBackbone Model=Mistral, Shot Count=16-shot2025.0574.22
SCModel=Mistral, k-shot=162025.0574.22
BCBackbone Model=Mistral, Shot Count=16-shot2025.0564.92
BCModel=Mistral, k-shot=162025.0564.92
Base LLMBackbone Model=Qwen, Shot Count=16-shot2025.0561.33
BCBackbone Model=Qwen, Shot Count=16-shot2025.0561.33
Base LLMModel=Qwen, k-shot=162025.0561.33
BCModel=Qwen, k-shot=162025.0561.33
BCBackbone Model=Llama, Shot Count=16-shot2025.0556.48
BCModel=Llama, k-shot=162025.0556.48
SCBackbone Model=Qwen, Shot Count=16-shot2025.0554.3
SCModel=Qwen, k-shot=162025.0554.3
SCBackbone Model=Llama, Shot Count=16-shot2025.0552.73
SCModel=Llama, k-shot=162025.0552.73
Base LLMBackbone Model=Mistral, Shot Count=16-shot2025.0548.67
Base LLMModel=Mistral, k-shot=162025.0548.67
Base LLMBackbone Model=Llama, Shot Count=16-shot2025.0543.12
Base LLMModel=Llama, k-shot=162025.0543.12
CCBackbone Model=Qwen, Shot Count=16-shot2025.0538.67
DCBackbone Model=Qwen, Shot Count=16-shot2025.0538.67
CCBackbone Model=Llama, Shot Count=16-shot2025.0538.67
DCBackbone Model=Llama, Shot Count=16-shot2025.0538.67
CCBackbone Model=Mistral, Shot Count=16-shot2025.0538.67
DCBackbone Model=Mistral, Shot Count=16-shot2025.0538.67
CCModel=Qwen, k-shot=162025.0538.67
DCModel=Qwen, k-shot=162025.0538.67
CCModel=Llama, k-shot=162025.0538.67
DCModel=Llama, k-shot=162025.0538.67
CCModel=Mistral, k-shot=162025.0538.67
DCModel=Mistral, k-shot=162025.0538.67