List your company

Model Routing on Composite QA Suite (MathQA, LogiQA, MedQA, PIQA, TruthQA, MMLU, GSM8k, GPQA, ASDiv, SoQA)

66.2Overall AccuracyKMeans
58.50460.50262.564.498Jan 28, 2026

Evaluation results

MethodLinks
KMeansTrain samples=10242026.0166.256.1249.0274.8687.3152.785.1489.2924.860.137.65
LOCUSTrain samples=10242026.0164.752.7449.0272.685.0741.8981.8389.2929.264.6531.48
KMeansTrain samples=5122026.0164.4757.8152.9475.4287.3147.381.3289.2923.657.5837.65
IRT-NETTrain samples=10242026.0163.3757.8152.9471.1979.855082.1788.3927.643.9430.25
LOCUSTrain samples=5122026.0162.9749.7943.1457.9186.5752.783.785.7127.460.6130.86
kNNTrain samples=10242026.0162.957.8145.172.686.5755.4182.0989.2921.639.3937.04
LOCUSTrain samples=2562026.0161.939.6641.1855.6585.8233.7886.2575.8925.265.6629.63
EmbedLLM+Train samples=5122026.0161.5757.8145.173.4581.3441.8978.2789.292933.8432.72
kNNTrain samples=5122026.0161.3757.3845.168.6485.8248.6580.4889.2926.829.829.01
KMeansTrain samples=2562026.0161.3358.6549.0262.9986.5752.784.7289.2925.810.131.48
kNNTrain samples=2562026.0160.559.9247.0675.4285.0741.8978.2789.292910.130.86
IRT-NETTrain samples=5122026.0160.1758.6549.0272.680.644.5977.2583.0428.423.2332.1
EmbedLLM+Train samples=10242026.0159.7357.3845.171.7579.8532.4378.6989.2926.221.7229.01
EmbedLLMTrain samples=10242026.0159.658.6550.9872.8879.147.376.8389.2923.825.2530.86
IRT-NETTrain samples=2562026.0159.5759.4939.2272.681.3443.2476.9190.1828.614.6530.25
EmbedLLMTrain samples=5122026.0159.4759.4945.174.2977.6143.2476.8389.2928.812.1229.63
EmbedLLM+Train samples=2562026.0159.1749.3735.2962.9962.6951.3577.0889.2924.254.5535.8
EmbedLLMTrain samples=2562026.0158.858.2341.1872.0379.8535.1475.5588.3928.219.1930.25