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Question Answering on 15 Domain-Specific Knowledge Tasks (test)

78.4FiQA AccuracyBase
65.50468.85272.275.548Nov 13, 2025

Evaluation results

MethodLinks
BaseModel=Llama 3.1, Augmentation=w/ Cheat Sheet2025.1178.4476121.767.749.757.461.853.274.753.873.864.660.351.558.4
KPPOModel=Llama 3.12025.1177.3557051.77158.66968.76175.969.780.871.969.263.667.6
KPPOModel=Qwen 2.52025.1177.3616553.360.556.458.966.466.280.559.880.866.762.857.664.9
BaseModel=Qwen 2.5, Augmentation=w/ Cheat Sheet2025.1176.35762305843.651.253.454.56959.866.963.561.549.257
VEModel=Qwen 2.5, Augmentation=w/ Web Search2025.1176.3616543.362.152.552.756.557.172.452.376.263.561.548.560.1
APOModel=Qwen 2.5, Optimization Alignment=True (*)2025.1176.357643555.745.358.153.453.363.253.866.261.55946.256.5
PromptAgentModel=Qwen 2.52025.1176.3606131.753.240.956.661.157.17752.373.164.661.549.258.4
PromptAgentModel=Qwen 2.5, Optimization Alignment=True (*)2025.1176.360585052.448.651.258.864.966.755.368.561.552.658.358.9
APOModel=Qwen 2.52025.1175.362553054.845.950.453.457.164.45371.563.555.147.755.9
AMPOModel=Qwen 2.52025.1175.361642058.144.853.554.257.165.55369.265.655.152.356.6
BaseModel=Qwen 2.52025.1174.26160355444.853.556.557.16956.868.561.562.847.757.5
RAGModel=Qwen 2.5, Augmentation=w/ Training Set2025.1174.2475741.75045.94548.16552.951.564.660.453.938.653
RAGModel=Qwen 2.5, Augmentation=w/ Web Search2025.1174.2616453.366.14750.461.158.470.160.672.361.556.443.260
BaseModel=Llama 3.12025.1173.2496928.361.34765.163.46171.362.176.966.753.95360.1
OPROModel=Llama 3.12025.1173.255703063.750.358.964.953.372.469.776.962.564.157.661.5
APOModel=Llama 3.12025.1173.252653561.345.961.263.459.771.365.274.666.761.560.661.1
APOModel=Llama 3.1, Optimization Alignment=True (*)2025.1173.2556333.366.151.457.463.458.471.357.673.162.553.956.859.8
AMPOModel=Llama 3.12025.1173.2496528.360.545.362.863.46172.466.776.260.453.962.160
PromptAgentModel=Llama 3.12025.1173.2516528.355.739.862.864.167.574.765.276.269.864.154.660.8
PromptAgentModel=Llama 3.1, Optimization Alignment=True (*)2025.1173.2456528.365.345.354.361.859.771.364.474.661.560.359.959.3
OPROModel=Qwen 2.52025.1173.254593552.44754.35866.274.757.872.367.752.651.558.4
RAGModel=Llama 3.1, Augmentation=w/ Web Search2025.1172.2506946.762.948.157.462.655.873.659.877.765.667.959.861.9
RAGModel=Llama 3.1, Augmentation=w/ Training Set2025.1166325746.763.747.564.365.667.565.559.870.860.452.658.358.5
VEModel=Llama 3.1, Augmentation=w/ Web Search2025.1166606543.375.850.866.762.664.967.863.67065.662.854.562.6