Non-record: KNN Hidden State Retrieval — Scale Deception from Weak to Strong Models (8xH100)#1259
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… Strong Models Novel eval-time technique validated on 8xH100. Helps weak models (-2 to -4%), hurts competition-quality models (+1.5%). Definitive scale deception finding.
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Summary
Novel eval-time technique: KNN Hidden State Retrieval. Zero artifact cost, score-first protocol.
Key finding: helps weak models (-2 to -4%), HURTS strong competition-quality models (+1.5%).
Second confirmed case of scale deception in this competition (first: SSM in PR #1013/PR #1227).
8xH100 Results
Implication
Eval-time prediction mixing has negative returns on strong models. Techniques that adapt the model (TTT) may work better than mixing external distributions.
Full scaling analysis in README.