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Multi-task Language Understanding on MMLU

99.7AccuracyM2CL
78.984.389.795.1Oct 20, 2022May 9, 2023Nov 27, 2023Jun 16, 2024Jan 3, 2025Jul 24, 2025Feb 11, 2026

Evaluation results

MethodLinks
M2CLModel=Qwen-72B, Number of LLMs=642026.0299.7———————
M2CLModel=Qwen-14B, Number of LLMs=642026.0299.1———————
MacNetModel=Qwen-72B, Number of LLMs=642026.0298———————
M2CLModel=Qwen-7B, Number of LLMs=642026.0297.5———————
M2CLModel=Llama-14B, Number of LLMs=642026.0296.8———————
M2CLModel=Llama-70B, Number of LLMs=642026.0296.3———————
GPTSwarmModel=Llama-70B, Number of LLMs=642026.0295.7———————
M2CLBackbone=Llama-70B, Number of LLMs=82026.0295.4———————
DyLANModel=Llama-70B, Number of LLMs=642026.0295.4———————
MacNetModel=Llama-70B, Number of LLMs=642026.0295.3———————
M2CLBackbone=Qwen-72B, Number of LLMs=82026.0295.1———————
DyLANModel=Qwen-72B, Number of LLMs=642026.0295.1———————
GPTSwarmModel=Qwen-72B, Number of LLMs=642026.0294.3———————
M2CLBackbone=Qwen-14B, Number of LLMs=82026.0293.7———————
MacNetModel=Qwen-14B, Number of LLMs=642026.0293.7———————
GPTSwarmBackbone=Llama-70B, Number of LLMs=82026.0293.6———————
DyLANBackbone=Llama-70B, Number of LLMs=82026.0293.5———————
M2CLBackbone=Llama-14B, Number of LLMs=82026.0292.7———————
M2CLBackbone=Qwen-7B, Number of LLMs=82026.0292.5———————
DyLANBackbone=Qwen-72B, Number of LLMs=82026.0291.5———————
GPTSwarmBackbone=Qwen-72B, Number of LLMs=82026.0291.5———————
Interfaze-Beta2026.0291.38———————
DebateModel=Qwen-72B, Number of LLMs=642026.0291.2———————
MacNetModel=Llama-14B, Number of LLMs=642026.0290.8———————
GPT-4.12026.0290.2———————
DyLANModel=Qwen-14B, Number of LLMs=642026.0290.2———————
GPTSwarmModel=Qwen-14B, Number of LLMs=642026.0290.2———————
DebateModel=Llama-70B, Number of LLMs=642026.0290———————
Claude 3.5 Sonnetshot=5-shot, CoT=false2024.0789.9———————
Average human expert2022.1089.8———————
KALEBackbone=Qwen3-32B-thinking2026.0189.44———————
Gemini 2.5 Pro2026.0289.2———————
GPT-4oshot=5-shot, CoT=false2024.0789.1———————
Claude Opus 4Reasoning=Thinking2026.0289———————
Claude Sonnet 4Reasoning=Thinking2026.0288.8———————
GPT-4oshot=0-shot, CoT=true2024.0788.7———————
Llama 3 405Bshot=0-shot, CoT=true2024.0788.6———————
Claude 3.5 Sonnetshot=0-shot, CoT=true2024.0788.3———————
Llama 3 405Bshot=5-shot, CoT=false2024.0787.3———————
G-DesignerDyn.=false, Dis.=false2025.1187.2———————
GPTSwarmBackbone=Qwen-14B, Number of LLMs=82026.0287———————
DyLANBackbone=Qwen-14B, Number of LLMs=82026.0286.8———————
BiRouterDyn.=true, Dis.=true2025.1186.8———————
DeepSeek-V3.2Access=Closed-source2026.0186.73———————
DebateModel=Qwen-14B, Number of LLMs=642026.0286.6———————
Llama 3 70Bshot=0-shot, CoT=true2024.0786———————
SFTBackbone=Qwen3-32B-thinking2026.0185.56———————
GPT-4 (0125)shot=0-shot, CoT=true2024.0785.4———————
GPT-4 (0125)shot=5-shot, CoT=false2024.0785.1———————
MacNetModel=Qwen-7B, Number of LLMs=642026.0285.1———————
GPT-4oAccess=Closed-source2026.0185.08———————
SE-GPTModel=GPT-42024.0785———————
DyLANModel=Llama-14B, Number of LLMs=642026.0285———————
BF16Backbone=DeepSeek-V3.1 671B2026.0284.86———————
HiF4Backbone=DeepSeek-V3.1 671B2026.0284.77—————-0.09—
NVFP4+PTSBackbone=DeepSeek-V3.1 671B2026.0284.72—————-0.14—
NVFP4Backbone=DeepSeek-V3.1 671B2026.0284.31—————-0.55—
BoNBackbone=Qwen-72B, Number of LLMs=82026.0284.2———————
BoNModel=Qwen-72B, Number of LLMs=642026.0284.2———————
MacNetBackbone=Qwen-72B, Number of LLMs=82026.0283.8———————
VanillaBackbone=Qwen3-32B-thinking2026.0183.61———————
Llama 3 70Bshot=5-shot, CoT=false2024.0783.6———————
Self-EXPModel=GPT-42024.0783.4———————
GPT-42024.0383———————
BoNBackbone=Llama-70B, Number of LLMs=82026.0283———————
BoNModel=Llama-70B, Number of LLMs=642026.0283———————
MacNetDyn.=false, Dis.=false2025.1182.98———————
Ans. AugTraining Strategy=Answer-Based Augmentation, Backbone=Qwen-2.5-32B-Instruct2026.0182.9———————
GPTSwarmDyn.=false, Dis.=false2025.1182.8———————
DebateBackbone=Qwen-72B, Number of LLMs=82026.0282.7———————
Nemotron 4 340Bshot=5-shot, CoT=false2024.0782.6———————
Zero-shot-CoTModel=GPT-42024.0782.2———————
DebateBackbone=Llama-70B, Number of LLMs=82026.0282.2———————
DyLANBackbone=Llama-14B, Number of LLMs=82026.0282.1———————
MacNetBackbone=Llama-70B, Number of LLMs=82026.0282———————
Llama 70B2026.0281.78———————
MacNetBackbone=Llama-14B, Number of LLMs=82026.0281.7———————
M2CLModel=Llama-7B, Number of LLMs=642026.0281.5———————
LLM-BlenderDyn.=false, Dis.=false2025.1181.22———————
Flan-PaLM 2 (L)shot=5-shot2023.0581.2———————
AUTOIF (Qwen2-72B-Instruct w/ Online DPO)Backbone Model=Qwen2-72B-Instruct, Supervision Model=Qwen2-72B, Alignment Strategy=Self-Alignment, Training Method=Online DPO2024.0681.2———————
Know. AugTraining Strategy=Knowledge-Based Augmentation, Backbone=Qwen-2.5-32B-Instruct2026.0181.1———————
ComplexCoT2025.1181.05———————
LLM-DebateDyn.=false, Dis.=false2025.1181.04———————
SC (CoTx5)2025.1180.96———————
GPTSwarmModel=Qwen-7B, Number of LLMs=642026.0280.9———————
Qwen2-72B-InstructBackbone Model=Qwen2-72B-Instruct2024.0680.8———————
AUTOIF (LLaMA-3-70B w/ Online DPO)Backbone Model=LLaMA3-70B-Instruct, Supervision Model=LLaMA3-70B, Alignment Strategy=Self-Alignment, Training Method=Online DPO2024.0680.7———————
LLaMA3-70B-InstructBackbone Model=LLaMA3-70B-Instruct2024.0680.5———————
Cont-Squeezerank=128 to 1, additional_steps=7002026.0280.17———————
In-Squeezerank=128 to 1, schedule=Min steps2026.0280.16———————
SATTraining Strategy=Structure-Aware Training, Backbone=Qwen-2.5-32B-Instruct2026.0180.1———————
No ControlBackbone=Qwen2-72B-Instruct2024.1180.05———————
DyLANDyn.=true, Dis.=false2025.1179.96———————
Mixtral 8x22Bshot=0-shot, CoT=true2024.0779.9———————
DyLANModel=Qwen-7B, Number of LLMs=642026.0279.8———————
SAC Single-taskBackbone=Qwen2-72B-Instruct2024.1179.75———————
In-Squeezerank=128 to 1, schedule=Standard2026.0279.75———————
BoNBackbone=Qwen-14B, Number of LLMs=82026.0279.7———————
BoNModel=Qwen-14B, Number of LLMs=642026.0279.7———————