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Question Answering on SciQ (AUC, F95, AUP)

87.79AUCSIVR (Ours)
30.090845.070460.0575.0296Apr 17, 2026

Evaluation results

MethodLinks
SIVR (Ours)Backbone=Llama-3.1-8B-Instruct2026.0487.7954.5594.14
SIVRBackbone=Llama-3.1-8B-Instruct2026.0487.7954.5594.14
SAPLMABackbone=Llama-3.1-8B-Instruct2026.0487.4157.3592.91
SIVRmodel=Llama-3.2-3B-Instruct2026.0485.752.5493.68
SIVRBackbone=Llama-3.2-3B-Instruct2026.0485.752.5493.68
TADmodel=Llama-3.2-3B-Instruct2026.0485.1677.5994.07
TADBackbone=Llama-3.2-3B-Instruct2026.0485.1677.5994.07
SATMD + MSPBackbone=Llama-3.1-8B-Instruct2026.0484.8351.6792.69
Lookback LensBackbone=Llama-3.1-8B-Instruct2026.0483.788090.63
SAPLMAmodel=Llama-3.2-3B-Instruct2026.0483.6260.3493
TADBackbone=Llama-3.1-8B-Instruct2026.0483.665.6791.69
TADBackbone=Llama-3.1-8B-Instruct2026.0483.665.6791.69
SIVRModel=Ministral-8B-Instruct2026.0480.8163.9586.03
SIVRBackbone=Ministral-8B-Instruct2026.0480.8163.9586.03
Lookback Lensmodel=Llama-3.2-3B-Instruct2026.0480.5477.5992.09
SEmodel=Llama-3.2-3B-Instruct2026.0479.4477.0892.03
SEBackbone=Llama-3.1-8B-Instruct2026.0479.0174.6387.85
SEModel=Ministral-8B-Instruct2026.0478.9881.0887.83
SATMD + MSPmodel=Llama-3.2-3B-Instruct2026.0478.7580.791.07
PerplexityBackbone=Llama-3.1-8B-Instruct2026.0478.5962.3585.17
SARModel=Ministral-8B-Instruct2026.0478.5167.5783.35
Temp-ScaledBackbone=Llama-3.1-8B-Instruct2026.0477.8761.7683.55
Max ProbBackbone=Llama-3.1-8B-Instruct2026.0477.6362.3583.97
EntropyBackbone=Llama-3.1-8B-Instruct2026.0477.4966.4785.13
SATMD + MSPModel=Ministral-8B-Instruct2026.0477.4662.283.34
TADModel=Ministral-8B-Instruct2026.0475.5484.4480.9
TADBackbone=Ministral-8B-Instruct2026.0475.5484.4480.9
CoE-Cmodel=Llama-3.2-3B-Instruct2026.0475.0683.8589.14
SARmodel=Llama-3.2-3B-Instruct2026.0473.9872.9289.17
PerplexityModel=Ministral-8B-Instruct2026.0473.7872.8376.2
SAPLMAModel=Ministral-8B-Instruct2026.0473.5582.9579.42
EntropyModel=Ministral-8B-Instruct2026.0472.9877.8575.79
Lookback LensModel=Ministral-8B-Instruct2026.0472.9388.1683.28
Entropymodel=Llama-3.2-3B-Instruct2026.0472.8580.4185.7
SARBackbone=Llama-3.1-8B-Instruct2026.0472.7882.0982.69
Energymodel=Llama-3.2-3B-Instruct2026.0472.7379.7386.21
Max ProbModel=Ministral-8B-Instruct2026.0472.5674.274.93
Perplexitymodel=Llama-3.2-3B-Instruct2026.0472.4277.6684.63
Temp-ScaledModel=Ministral-8B-Instruct2026.0472.173.0674.59
EnergyModel=Ministral-8B-Instruct2026.0471.6581.5175.28
Max Probmodel=Llama-3.2-3B-Instruct2026.0471.5478.0184.05
Temp-Scaledmodel=Llama-3.2-3B-Instruct2026.0470.7178.3582.71
CoE-CBackbone=Llama-3.1-8B-Instruct2026.0469.5690.8882.59
P(True)Backbone=Llama-3.1-8B-Instruct2026.0468.7686.1880.67
CoE-Rmodel=Llama-3.2-3B-Instruct2026.0465.4194.1684.73
EnergyBackbone=Llama-3.1-8B-Instruct2026.0461.5691.4775.54
P(True)model=Llama-3.2-3B-Instruct2026.0458.6693.1379.04
CoE-CModel=Ministral-8B-Instruct2026.0458.5593.6168.29
P(True)Model=Ministral-8B-Instruct2026.0449.9294.5256.88
CoE-RModel=Ministral-8B-Instruct2026.0441.1610053.06
CoE-RBackbone=Llama-3.1-8B-Instruct2026.0432.3110057.84