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Zero-shot Evaluation on AI2 OLMES zero-shot

35.96ScienceQAGEM
31.456832.625933.79534.9641Apr 27, 2026

Evaluation results

MethodLinks
GEMData Mixing Strategy=Perf, Evaluation Protocol=zero-shot, Model Architecture=LLaMA-style Transformer, Parameters=1.1B, Training Tokens=25B2026.0435.96——————————40.4357.9844.79
WebOrganizer FormatData Mixing Strategy=Perf, Evaluation Protocol=zero-shot, Model Architecture=LLaMA-style Transformer, Parameters=1.1B, Training Tokens=25B2026.0435.06——————————39.7357.9744.25
WebOrganizer TopicData Mixing Strategy=Perf, Evaluation Protocol=zero-shot, Model Architecture=LLaMA-style Transformer, Parameters=1.1B, Training Tokens=25B2026.0435.05——————————39.7357.944.23
GEMData Mixing Strategy=DoReMi, Evaluation Protocol=zero-shot, Model Architecture=LLaMA-style Transformer, Parameters=1.1B, Training Tokens=25B2026.0434.79——————————39.9657.1143.95
WebOrganizer TopicData Mixing Strategy=DoReMi, Evaluation Protocol=zero-shot, Model Architecture=LLaMA-style Transformer, Parameters=1.1B, Training Tokens=25B2026.0434.68——————————38.2655.3542.76
WebOrganizer FormatData Mixing Strategy=DoReMi, Evaluation Protocol=zero-shot, Model Architecture=LLaMA-style Transformer, Parameters=1.1B, Training Tokens=25B2026.0434.44——————————38.7355.1942.79
WebOrganizer FormatData Mixing Strategy=RegMix, Evaluation Protocol=zero-shot, Model Architecture=LLaMA-style Transformer, Parameters=1.1B, Training Tokens=25B2026.0434.12——————————33.9454.2640.77
GEMData Mixing Strategy=RegMix, Evaluation Protocol=zero-shot, Model Architecture=LLaMA-style Transformer, Parameters=1.1B, Training Tokens=25B2026.0434.07——————————35.354.9741.45
WebOrganizer TopicData Mixing Strategy=RegMix, Evaluation Protocol=zero-shot, Model Architecture=LLaMA-style Transformer, Parameters=1.1B, Training Tokens=25B2026.0433.9——————————33.8352.540.08
TOSData Mixing Strategy=Perf, Evaluation Protocol=zero-shot, Model Architecture=LLaMA-style Transformer, Parameters=1.1B, Training Tokens=25B2026.0432.54——————————34.5153.2940.11
TOSData Mixing Strategy=DoReMi, Evaluation Protocol=zero-shot, Model Architecture=LLaMA-style Transformer, Parameters=1.1B, Training Tokens=25B2026.0432.49——————————34.2953.9840.25
K-MeansData Mixing Strategy=Perf, Evaluation Protocol=zero-shot, Model Architecture=LLaMA-style Transformer, Parameters=1.1B, Training Tokens=25B2026.0432.48——————————35.1155.5241.04
K-MeansData Mixing Strategy=DoReMi, Evaluation Protocol=zero-shot, Model Architecture=LLaMA-style Transformer, Parameters=1.1B, Training Tokens=25B2026.0432.18——————————34.2153.4339.94
TOSData Mixing Strategy=RegMix, Evaluation Protocol=zero-shot, Model Architecture=LLaMA-style Transformer, Parameters=1.1B, Training Tokens=25B2026.0432.18——————————34.3552.439.64
K-MeansData Mixing Strategy=RegMix, Evaluation Protocol=zero-shot, Model Architecture=LLaMA-style Transformer, Parameters=1.1B, Training Tokens=25B2026.0431.63——————————34.8655.6740.72
BaseParams=246M, Compute Budget (FLOPs)=10^18, Evaluation Protocol=Zero-shot2026.05—39.325.351.429.326.227.657.840.550.538.7———
LoopedParams=168M, Compute Budget (FLOPs)=10^18, Evaluation Protocol=Zero-shot2026.05—39.124.649.627.125.624.457.138.251.237.4———
Looped-MoEParams=216M, Compute Budget (FLOPs)=10^18, Evaluation Protocol=Zero-shot2026.05—40.424.363.930.925.426.855.23851.739.6———