List your company

Mathematical Reasoning on MATH (CoT Calibration & Accuracy)

0.513CoT NLLBayesian-LoRA
0.446920.892961.3391.78504Jan 28, 2026

Evaluation results

MethodLinks
Bayesian-LoRAModel=Qwen2.5-14B-Instruct, Zero-shot=true, N=42026.010.5135.8151.1
Bayesian-LoRAModel=Qwen3-30B-A3B-Instruct-2507, Zero-shot=true2026.010.7216.3261.9
LA (post-hoc)Model=Qwen2.5-14B-Instruct, Zero-shot=true2026.010.817.1249.8
LA (post-hoc)Model=Qwen3-30B-A3B-Instruct-2507, Zero-shot=true2026.010.9047.0861.8
BLoBModel=Qwen3-30B-A3B-Instruct-2507, Zero-shot=true, N=102026.010.9937.1560.4
TempModel=Qwen3-30B-A3B-Instruct-2507, Zero-shot=true2026.011.0218.9461.7
Baseline FTModel=Qwen3-30B-A3B-Instruct-2507, Zero-shot=true2026.011.0968.9661.8
BLoBModel=Qwen2.5-14B-Instruct, Zero-shot=true, N=102026.011.218.4147.2
TempModel=Qwen2.5-14B-Instruct, Zero-shot=true2026.011.9610.749.9
DropoutModel=Qwen2.5-14B-Instruct, Zero-shot=true2026.012.10311.950
Baseline FTModel=Qwen2.5-14B-Instruct, Zero-shot=true2026.012.16512.249.8