List your company

Multilingual Mathematical Reasoning on MGSM 1.0 (test)

69.6Accuracy (ru)MindMerger-Hard
-1.53616.93235.453.868May 23, 2023Jul 25, 2023Sep 26, 2023Nov 28, 2023Jan 30, 2024Apr 2, 2024Jun 4, 2024

Evaluation results

MethodLinks
MindMerger-HardBackbone=MetaMath-Mistral-7B2024.0569.6—66.86062.452.448.457.666.471.676.452.867.663.2—
MultiReason-LoraBackbone=MetaMath-Mistral-7B2024.0568.4—6662.454.446.851.239.672707645.96760.7—
LangBridgeBackbone=MetaMath-Mistral-7B2024.0568.4—68.865.658.4506047.268.465.665.652.465.861.8—
MindMerger-SoftBackbone=MetaMath-Mistral-7B2024.0568.4—69.668.857.257.659.653.269.271.679.256.869.165.4—
MindMerger-SoftBackbone=MetaMath-Llama-13B2024.0568—63.660.46055.259.656.465.269.668.857.165.162.7—
MonoReasonBackbone=MetaMath-Mistral-7B2024.0567.2—70.857.250.838.434.816.870.471.2783066.555.6—
mCoT-7BParameters=7B2024.0666.8—63.864.865.265.667.667.261.268.471.6———62.4
Translate-EnBackbone=MetaMath-Mistral-7B2024.0564.9—56.763.157.254.658.747.750.458.669.753.760.158.2—
MultiReason-LoraBackbone=MetaMath-Llama-13B2024.0564.8—64.461.2584449.240.86467.668.444.764.158.2—
QAlignBackbone=MetaMath-Llama-13B2024.0564.4—62.459.252.438.449.6466267.269.244.762.457.1—
GPT-4-EnPrompting=2-shot2024.0664—727071.617.640.464.473.671.280————
MonoReasonBackbone=MetaMath-Llama-13B2024.0562—63.65648128.86.46467.270.89.161.745.9—
MultiReason-SFTBackbone=MetaMath-Llama-13B2024.0560.8—59.261.65844.851.650.864.867.666.449.162.658.6—
MindMerger-HardBackbone=MetaMath-Llama-13B2024.0560.8—61.652.851.64838.453.666.868.467.646.761.457—
QAlignBackbone=MetaMath-Mistral-7B2024.0560.2—59.857.249.445.651.255.259.263.665.850.759.356.7—
LangBridgeBackbone=MetaMath-Llama-13B2024.0558.8—54.84233.639.242.84255.260.865.241.352.949.4—
xCoTParameters=13B2024.0656.8—46.45449.6505051.652.454.854.4———47.2
GPT-3.5-EnPrompting=2-shot2024.0650.4—59.252.846.87.615.6406261.267.2————
xCoTParameters=7B2024.0650—49.6505040.449.248.447.248.848.4———42.8
MathOctopus-MistralParameters=7B, Backbone=Mistral2024.0649.6—47.251.6484448.851.65053.258.4————
PaLM-540BPrompting=few-shot, Parameters=540B2024.0648.4—46.446.8404652.835.249.256.862.4———45.6
MathOctopusParameters=7B2024.0648.4—3845.235.633.236.438.443.645.254.8————
MathOctopusParameters=13B2024.0647.6—49.651.239.642464649.253.251.6————
Translate-EnBackbone=MetaMath-Llama-13B2024.0545.6—545844.434.85444.453.662.470.844.455.552.2—
WizardMathParameters=13B2024.0634.4—4228226.45.65.640.445.652.8————
MultiReason-SFTBackbone=MetaMath-Mistral-7B2024.0532—34.828.830.818.426.426.832.43839.623.933.830.8—
WizardMathParameters=7B2024.0630.8—30.422.424243.430.434.847.6————
GPT-3Prompting=few-shot2024.0628.4—37.640266.40.811.23640.453.6———0.4
MT0-3.7B + COT FTEvaluation Setting=Zero-shot, Evaluation Mode=CoT Evaluation, Training Strategy=CoT Fine-tuning, Training Scale=Single language adaptation2023.0510.47.615.611.211——————————
MT5-3.7B + COT FTEvaluation Setting=Zero-shot, Evaluation Mode=CoT Evaluation, Training Strategy=CoT Fine-tuning, Training Scale=Single language adaptation2023.056.83.29.667.6——————————
FLAN-T5-11BEvaluation Setting=Zero-shot, Evaluation Mode=CoT Evaluation2023.055.2013.200——————————
MT0-3.7BEvaluation Setting=Zero-shot, Evaluation Mode=CoT Evaluation2023.054.807.21.62.4——————————
GPT-3 (175B)Evaluation Setting=6-Shot prompt, Evaluation Mode=CoT Evaluation2023.054.4010.86.80.8——————————
FLAN-T5-3BEvaluation Setting=Zero-shot, Evaluation Mode=CoT Evaluation2023.052.807.200——————————
MT5-3.7BEvaluation Setting=Zero-shot, Evaluation Mode=CoT Evaluation2023.051.2020.80.8——————————