Compressed (caveman) reasoning traces train models to reason in ~2-3x fewer tokens at equal or better accuracy. For full ablation: sibling collection.
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Marco De Santis
marcodsn
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LMs, datasets, cats?
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updated a model 1 day ago
marcodsn/gemma-4-12b-it-flint-section-merged updated a collection 1 day ago
Reasoning Compression: Ablation Arms updated a collection 1 day ago
Reasoning Compression: Ablation ArmsOrganizations
Compressed (caveman) reasoning traces train models to reason in ~2-3x fewer tokens at equal or better accuracy. For full ablation: sibling collection.
All ablation arms + dataset variants behind the caveman reasoning-compression study. For headline artifacts: see the main collection.
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