2-154-expert-curated-multiple-choice-questions-across-eight-architectural-categories CLM-0284observationsingle paperReviewed by AI
On 2,154 expert-curated multiple-choice questions across eight architectural categories, 11 current models all score above 90% zero-shot (best about 94%), with quality-attribute and pattern questions near ceiling, but accuracy varies by category and drops for smaller models on the harder tiers (to about 85-87%), so declarative architectural knowledge is largely present while the benchmark cannot show whether it is applied in design.
Capability: Making design decisions that hold up as a system grows
Observed on
SAKE, four-option MCQ, four context-length levels, zero- and five-shot, 11 proprietary and open models, 2026..
Sources
- Multiple-choice recall, near saturation; the category variance is the only discriminating signal left.
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Notes
Drafted from the paper by a model and filed unreviewed. Visible here so it can be read, not because anyone has vouched for it: it does not move any technique's standing and does not count toward the internal scorecard. Drafted confidence: medium. Falsifier as drafted: A performance-based architecture task on which the same models fall far below their SAKE scores, which would confirm the knowledge/application gap.