EXCISE - MMLU Professional Medicine: leaderboard

EXCISE v1 medical distractor robustness: 1273 held-out MedQA test questions; MedQA-TD and MedDistractQA each have Nonliteral/Bystander variants; BiasMedQA has 1273 five-option questions per bias. First-answer-token logits over answer options, bfloat16/eager attention, batch 1/no KV unless stated. Qwen 3-8B thinking off for first-token rows; separately labeled reasoning baselines use generated answers. EXCISE attributes by attention blocking and gates using hidden-state discordance; layer/threshold/blocking chosen on development, never test labels. CoT greedy max 1024 tokens; Qwen/Llama use JSON, Meerkat model-card prompt/final-answer extraction. KV cache used for Qwen/Llama CoT MMLU-PM/MedDistractQA and all Meerkat CoT. Exact inference methods remain distinct evaluated systems. The same held-out task is assembled across disjoint model/method populations; table-specific readout, masking, projection, and perturbation controls are retained in the named system/task. Forced-choice head-search masks use 382 development pairs and 887 selection questions; random matched masks average 5 runs. Gold-cue controls target the correct option. Projection batches use 20 random 50-question partitions or a fixed unlabeled development projection. SimCSE gate threshold is development-tuned; MPNet/SapBERT reuse the original threshold. Native position averages, two-type averages and seven-bias averages are separate; no score or denominator is reconstructed. EXCISE - MMLU Professional Medicine. Metric: Accuracy (%).

Metric: Accuracy (%). Source: arxiv.org. Saturation forecast: Rough model projection: around 2026. 34 models tracked.

Top models

#ModelScoreOverall rank
1Qwen3-8B (no thinking) (Harness: EXCISE CoT)86.03
2Qwen3-8B (no thinking) (Harness: EXCISE CoT + Excise)85.66
3Qwen3-8B (no thinking) (Harness: EXCISE CoT + I3C)84.93
4Qwen3-8B (no thinking) (Harness: EXCISE S2A)83.46
5Llama-3-Meerkat-8B (Harness: EXCISE CoT)83.46
6Qwen3-8B (no thinking) (Harness: EXCISE Excise)83.09
7Qwen3-8B (no thinking) (Harness: EXCISE first-token)82.72
8Qwen3-8B (no thinking) (Harness: EXCISE Ignore instruction)82.72
9Llama-3-Meerkat-8B (Harness: EXCISE CoT + I3C)82.35
10Qwen3-8B (no thinking) (Harness: EXCISE top-1 Avg. Attention)81.99

Interactive version: theaggregate.ai/benchmark?slug=excise-mmlu-professional-medicine · How It Works · Data refreshed daily, snapshot 2026-10-28.