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Mathematical Reasoning on GSM8K (test) (ACC, LEN, Ratio)

94.62ACCBaseline
45.719258.414671.1183.8054Jan 29, 2026Feb 23, 2026Mar 20, 2026Apr 15, 2026May 10, 2026Jun 4, 2026Jun 30, 2026

Evaluation results

MethodLinks
BaselineModel=Qwen3-4B, Temperature=Constant, Maximum context length=8K tokens2026.0194.621,097.441.5
TALE-EPModel=Qwen3-4B, Temperature=Constant, Maximum context length=8K tokens2026.0194.39561.549.7
DiPOModel=Qwen3-4B, Temperature=Constant, Maximum context length=8K tokens2026.0194.31362.558.2
SFTModel=Qwen3-4B, Temperature=Constant, Maximum context length=8K tokens2026.0194.241,086.241.2
CoDModel=Qwen3-4B, Temperature=Constant, Maximum context length=8K tokens2026.0194.16464.255.8
CoDModel=Qwen3-8B*, Temperature=Constant, Maximum context length=8K tokens2026.0194.162,123.418.7
DPOModel=Qwen3-4B, Temperature=Constant, Maximum context length=8K tokens2026.0194.091,087.741
SFTModel=Qwen3-8B*, Temperature=Constant, Maximum context length=8K tokens2026.0194.091,448.129.6
BaselineModel=Qwen3-8B*, Temperature=Constant, Maximum context length=8K tokens2026.0193.931,726.326.7
DiPOModel=Qwen3-8B*, Temperature=Constant, Maximum context length=8K tokens2026.0193.78494.763
DPOModel=Qwen3-8B*, Temperature=Constant, Maximum context length=8K tokens2026.0193.631,740.126.7
TALE-EPModel=Qwen3-8B*, Temperature=Constant, Maximum context length=8K tokens2026.0193.331,84620.5
Explicit CoTBackbone=LLAMA-3.2-3B-INSTRUCT, Training Data=GSM8k-Aug (natural language)2026.0668.41——
LOTUSBackbone=LLAMA-3.2-3B-INSTRUCT, Training Data=GSM8k-Aug (natural language)2026.0668.13——
KaVaBackbone=LLAMA-3.2-3B-INSTRUCT, Training Data=GSM8k-Aug (natural language)2026.0660——
CODIBackbone=LLAMA-3.2-3B-INSTRUCT, Training Data=GSM8k-Aug (natural language)2026.0655.9——
PCCoTBackbone=LLAMA-3.2-3B-INSTRUCT, Training Data=GSM8k-Aug (natural language)2026.0647.6——