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Mathematical Reasoning on GSM8K-NL (test)

58.5AccuracyLT-Tuning + Adapter
11.90824.00436.148.196Feb 10, 2026

Evaluation results

MethodLinks
LT-Tuning + AdapterBackbone=Llama-3.1-8B, Fine-tuning set=GSM8K training set, Adapter usage=true2026.0258.5
LT-TuningBackbone=Llama-3.1-8B, Fine-tuning set=GSM8K training set, Adapter usage=false2026.0258.1
Soft-ThinkingBackbone=Llama-3.1-8B, Fine-tuning set=GSM8K training set, Adapter usage=false2026.0253.1
Explicit CoTBackbone=Llama-3.1-8B, Fine-tuning set=GSM8K training set, Adapter usage=false2026.0249.5
SoftCoTBackbone=Llama-3.1-8B, Fine-tuning set=GSM8K training set, Adapter usage=false2026.0236.8
CoconutBackbone=Llama-3.1-8B, Fine-tuning set=GSM8K training set, Adapter usage=false2026.0232.7
LT-TuningBackbone=Llama-3.2-3B, Fine-tuning set=GSM8K training set, Adapter usage=false2026.0232.1
CoconutBackbone=Llama-3.2-3B, Fine-tuning set=GSM8K training set, Adapter usage=false2026.0231.8
Explicit CoTBackbone=Llama-3.2-3B, Fine-tuning set=GSM8K training set, Adapter usage=false2026.0229.5
SoftCoTBackbone=Llama-3.2-3B, Fine-tuning set=GSM8K training set, Adapter usage=false2026.0226.9
Soft-ThinkingBackbone=Llama-3.2-3B, Fine-tuning set=GSM8K training set, Adapter usage=false2026.0224.2
SemCoTBackbone=Llama-3.1-8B, Fine-tuning set=GSM8K training set, Adapter usage=false2026.0221.5
SemCoTBackbone=Llama-3.2-3B, Fine-tuning set=GSM8K training set, Adapter usage=false2026.0216
LT-TuningBackbone=Llama-3.2-1B, Fine-tuning set=GSM8K training set, Adapter usage=false2026.0215.8
SemCoTBackbone=Llama-3.2-1B, Fine-tuning set=GSM8K training set, Adapter usage=false2026.0215
Explicit CoTBackbone=Llama-3.2-1B, Fine-tuning set=GSM8K training set, Adapter usage=false2026.0214.9
SoftCoTBackbone=Llama-3.2-1B, Fine-tuning set=GSM8K training set, Adapter usage=false2026.0214.9
CoconutBackbone=Llama-3.2-1B, Fine-tuning set=GSM8K training set, Adapter usage=false2026.0214.6
Soft-ThinkingBackbone=Llama-3.2-1B, Fine-tuning set=GSM8K training set, Adapter usage=false2026.0213.7