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Question Answering on MGSM

90.79AUCSATMD + MSP
37.625251.427665.2379.0324Apr 17, 2026

Evaluation results

MethodLinks
SATMD + MSPBackbone=Llama-3.1-8B-Instruct2026.0490.7935.0969.12
SIVR (Ours)Backbone=Llama-3.1-8B-Instruct2026.0489.0417.5458.13
SIVRBackbone=Llama-3.1-8B-Instruct2026.0489.0417.5458.13
SATMD + MSPModel=Ministral-8B-Instruct2026.0486.3853.9774.94
SIVRModel=Ministral-8B-Instruct2026.0484.758.7873.12
SIVRBackbone=Ministral-8B-Instruct2026.0484.758.7873.12
EnergyBackbone=Llama-3.1-8B-Instruct2026.0483.7358.8254.66
SAPLMABackbone=Llama-3.1-8B-Instruct2026.0481.0341.3848.44
SAPLMABackbone=Llama-3.1-8B-Instruct2026.0481.0341.3848.44
Lookback LensBackbone=Llama-3.1-8B-Instruct2026.0479.5664.5671.44
TADModel=Ministral-8B-Instruct2026.0479.1162.9663.11
Lookback LensModel=Ministral-8B-Instruct2026.0478.0666.6743.78
TADBackbone=Llama-3.1-8B-Instruct2026.0477.3756.0355.88
SAPLMAmodel=Llama-3.2-3B-Instruct2026.0476.4872.5370.33
SAPLMABackbone=Llama-3.2-3B-Instruct2026.0476.4872.5370.33
TADmodel=Llama-3.2-3B-Instruct2026.0476.2841.5151.31
SIVRmodel=Llama-3.2-3B-Instruct2026.0475.6574.4269.23
SIVRBackbone=Llama-3.2-3B-Instruct2026.0475.6574.4269.23
SEModel=Ministral-8B-Instruct2026.0473.9463.0860.17
SATMD + MSPmodel=Llama-3.2-3B-Instruct2026.0472.2777.8955.4
Lookback Lensmodel=Llama-3.2-3B-Instruct2026.0471.0583.3362.66
SARModel=Ministral-8B-Instruct2026.0470.4469.8453.94
SAPLMAModel=Ministral-8B-Instruct2026.0470.3488.8957.77
SAPLMABackbone=Ministral-8B-Instruct2026.0470.3488.8957.77
EntropyModel=Ministral-8B-Instruct2026.0469.7278.1445.82
EnergyModel=Ministral-8B-Instruct2026.0469.4680.6543.5
PerplexityModel=Ministral-8B-Instruct2026.0468.9780.3547.65
Max ProbModel=Ministral-8B-Instruct2026.0468.8782.2747.84
Temp-ScaledModel=Ministral-8B-Instruct2026.0467.6783.4647.03
Energymodel=Llama-3.2-3B-Instruct2026.0467.1467.8555.47
SEmodel=Llama-3.2-3B-Instruct2026.0466.3488.8950.44
CoE-RBackbone=Llama-3.1-8B-Instruct2026.0466.0995.8532.2
SEBackbone=Llama-3.1-8B-Instruct2026.046676.6756.88
Entropymodel=Llama-3.2-3B-Instruct2026.0464.6593.5755.57
SARBackbone=Llama-3.1-8B-Instruct2026.0463.7166.6752.09
EntropyBackbone=Llama-3.1-8B-Instruct2026.0461.4596.1938.87
Perplexitymodel=Llama-3.2-3B-Instruct2026.0461.4294.952.78
CoE-CModel=Ministral-8B-Instruct2026.0460.8890.138.13
Max Probmodel=Llama-3.2-3B-Instruct2026.0460.4995.3451.94
PerplexityBackbone=Llama-3.1-8B-Instruct2026.0458.8296.1935.32
Max ProbBackbone=Llama-3.1-8B-Instruct2026.0458.5496.1935.27
Temp-Scaledmodel=Llama-3.2-3B-Instruct2026.0457.3394.4648.79
Temp-ScaledBackbone=Llama-3.1-8B-Instruct2026.0457.296.5431.35
P(True)Backbone=Llama-3.1-8B-Instruct2026.0456.4395.8521.02
CoE-Rmodel=Llama-3.2-3B-Instruct2026.0454.8492.945.15
CoE-RModel=Ministral-8B-Instruct2026.0453.0796.0134.22
P(True)Model=Ministral-8B-Instruct2026.0452.2896.1631.9
CoE-CBackbone=Llama-3.1-8B-Instruct2026.0452.1894.4630.61
P(True)model=Llama-3.2-3B-Instruct2026.0450.7996.6742.17
CoE-Cmodel=Llama-3.2-3B-Instruct2026.0446.2490.2437.03
SARmodel=Llama-3.2-3B-Instruct2026.0439.6797.6233.7