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General Capability Evaluation on MMLU, GSM8K, HumanEval, IFEval

77.78Common Average ScoreNOVA
35.55646.51857.4868.442Apr 2, 2026Apr 12, 2026Apr 22, 2026May 2, 2026May 12, 2026May 22, 2026Jun 1, 2026

Evaluation results

MethodLinks
NOVAModel=Qwen3, Size=8B2026.0477.7876.4390.7582.9361
PRISMModel=Qwen3, Size=8B2026.0477.7877.5485.6785.9861.92
SEALModel=Qwen3, Size=8B2026.0477.1977.7988.8681.161
PRISMModel=Qwen3, Size=4B2026.0477.0676.9386.281.7163.4
SEALModel=Qwen3, Size=4B2026.0476.0976.0187.6479.8860.81
SFTModel=Qwen3, Size=4B2026.0475.3576.1985.1479.2760.81
NOVAModel=Qwen3, Size=4B2026.0474.1175.2881.5881.7157.86
SFTModel=Qwen3, Size=8B2026.0473.8678.2188.0283.5445.66
AlphaTokenModel=Qwen-3.5-9B2026.0672.59————
ssTOKEN ICLR 2026Model=Qwen-3.5-9B2026.0670.08————
XTF ICLR 2026Model=Qwen-3.5-9B2026.0669.84————
Token Cleaning ICML 2025Model=Qwen-3.5-9B2026.0669.32————
Standard FTModel=Qwen-3.5-9B2026.0668.93————
STM NeurIPS 2025Model=Qwen-3.5-9B2026.0668.92————
LESS ICML 2024Model=Qwen-3.5-9B2026.0668.7————
LoRA ICLR 2022Model=Qwen-3.5-9B2026.0667.51————
Pre-trainedModel=Qwen-3.5-9B2026.0664.58————
AlphaTokenModel=Gemma-3-4B2026.0656.21————
ssTOKEN ICLR 2026Model=Gemma-3-4B2026.0653.41————
Token Cleaning ICML 2025Model=Gemma-3-4B2026.0653.02————
LESS ICML 2024Model=Gemma-3-4B2026.0652.77————
XTF ICLR 2026Model=Gemma-3-4B2026.0652.49————
STM NeurIPS 2025Model=Gemma-3-4B2026.0652.01————
Standard FTModel=Gemma-3-4B2026.0652————
LoRA ICLR 2022Model=Gemma-3-4B2026.0651.46————
NOVAModel=Llama 3.1, Size=8B2026.0449.1449.9658.7651.2236.6
PRISMModel=Llama 3.1, Size=8B2026.0447.9747.7253.347.843.07
SFTModel=Llama 3.1, Size=8B2026.0447.3150.751.8640.8545.84
SEALModel=Llama 3.1, Size=8B2026.0446.9948.6249.7344.5145.1
AlphaTokenModel=Llama-3.2-3B2026.0644.73————
Pre-trainedModel=Gemma-3-4B2026.0643.3————
ssTOKEN ICLR 2026Model=Llama-3.2-3B2026.0643.19————
STM NeurIPS 2025Model=Llama-3.2-3B2026.0643.04————
LESS ICML 2024Model=Llama-3.2-3B2026.0642.8————
Standard FTModel=Llama-3.2-3B2026.0642.46————
Token Cleaning ICML 2025Model=Llama-3.2-3B2026.0642.21————
XTF ICLR 2026Model=Llama-3.2-3B2026.0641.73————
LoRA ICLR 2022Model=Llama-3.2-3B2026.0641.53————
Pre-trainedModel=Llama-3.2-3B2026.0637.18————