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Multiple-choice Question Answering on MMLU-Pro Zipf 0.8

76.7AccuracyMemBoost
48.93256.14163.3570.559Mar 27, 2026

Evaluation results

MethodLinks
MemBoostMeta-Controller=Qwen3.5-2B2026.0376.7
Qwen3-14B-FP8-dynamic (Oracle)Model Type=Baseline / Oracle2026.0376.4
MemBoostMeta-Controller=Ministral-3-3B-Instruct-25122026.0376.2
MemBoostMeta-Controller=Qwen3-4B-Instruct-2507-FP82026.0376.1
Qwen3-4B-Instruct-2507-FP8Model Type=Baseline2026.0374.5
Ministral-3-3B-Instruct-2512Model Type=Baseline2026.0353.8
Qwen3.5-2BModel Type=Baseline2026.0350