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ResearchFormerly WizWand

Multi-task Language Understanding on MMLU (Accuracy, Avg.)

84.9AccuracyDAAO
77.526479.440781.35583.2693Sep 14, 2025
Updated 8mo ago

Evaluation results

MethodLinks
DAAOLLM=LLM Pool2025.0984.983.26
MasRouterLLM=LLM Pool2025.0984.2580.66
MaASLLM=gemini-1.5-flash2025.0983.4280.18
AFlowLLM=gpt-4o-mini2025.0983.179.73
MaASLLM=gpt-4o-mini2025.0983.0180.43
AFlowLLM=gemini-1.5-flash2025.0982.3577.29
SC(CoT)LLM=gemini-1.5-flash2025.0981.6674.13
CoTLLM=gemini-1.5-flash2025.0981.3574.04
ComplexCoTLLM=gpt-4o-mini2025.0981.0575.57
SC(CoT)LLM=gpt-4o-mini2025.0981.0575.42
RouteLLMLLM=LLM Pool2025.0981.0475.5
ComplexCoTLLM=gemini-1.5-flash2025.0980.7473.39
VanillaLLM=qwen-2-72b2025.0980.2270.05
VanillaLLM=gemini-1.5-flash2025.0980.0474.08
ADASLLM=gemini-1.5-flash2025.0979.6872.05
ADASLLM=gpt-4o-mini2025.0979.5472.23
VanillaLLM=llama-3.1-70b2025.0979.0872.01
CoTLLM=gpt-4o-mini2025.0978.4373.64
PromptLLMLLM=LLM Pool2025.0978.4375.86
VanillaLLM=gpt-4o-mini2025.0977.8173.89