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Multiple Choice Question Answering on MC9, GEN5, AGIEval, BBH, MMLU, MMLU-Pro (test)

69.36MC9 AccuracyFlexMoRE-a4
62.298464.131765.96567.7983Feb 9, 2026

Evaluation results

MethodLinks
FlexMoRE-a4Params=10.75B, Active Experts=4, Expert Selection Strategy=heterogeneous (MC9)2026.0269.3648.9641.442.5555.1625.6447.183.79
FlexMoRE-a4Params=14.84B, Active Experts=4, Expert Selection Strategy=heterogeneous (all)2026.0268.9648.4641.2141.2455.5725.3346.792.94
FlexMoRE-a7Params=10.75B, Active Experts=7, Expert Selection Strategy=heterogeneous (MC9)2026.0268.9448.9641.442.5555.1625.6447.1114.08
FlexMoRE-a7Params=14.84B, Active Experts=7, Expert Selection Strategy=heterogeneous (all)2026.0268.6248.3440.4238.6153.9824.245.6910.65
FlexMoRE-a2Params=10.75B, Active Experts=2, Expert Selection Strategy=heterogeneous (MC9)2026.0268.3848.6841.8442.6955.5525.4347.15.49
FlexMoRE-a4Params=16.21B, Active Experts=4, LoRA Rank (r)=2^10, Expert Selection Strategy=homogeneous2026.0268.1947.8439.238.8754.6324.8745.60.32
FlexMoRE-a2Params=14.84B, Active Experts=2, Expert Selection Strategy=heterogeneous (all)2026.0267.7647.841.6941.9554.7525.3746.554.27
FlexMoRE-a7Params=16.21B, Active Experts=7, LoRA Rank (r)=2^10, Expert Selection Strategy=homogeneous2026.0267.3347.7636.836.6252.0922.6543.886.25
FlexMoRE-a2Params=11.75B, Active Experts=2, LoRA Rank (r)=2^9, Expert Selection Strategy=homogeneous2026.0267.2248.8639.7638.9754.8325.0145.772.53
FlexOlmo-a4 BaselineParams=33.27B, Active Experts=4, Expert Selection Strategy=Baseline (full-sized)2026.0267.0945.4839.9940.1455.1824.8645.46—
FlexOlmo-a7 BaselineParams=33.27B, Active Experts=7, Expert Selection Strategy=Baseline (full-sized)2026.0265.536.1437.4535.650.9722.1241.3—
FlexOlmo-a2 (baseline)Params=33.27B, Active Experts=2, Expert Selection Strategy=Baseline (full-sized)2026.0262.5745.0838.4244.6952.9724.1544.65—