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Mike Lewis

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#artificial intelligence Preprint Sep 2026

Context Language Models

Context Language Models are introduced, language models that natively manage their own context and can be steered with natural-language instructions evolved through a standard skill-optimization loop, improving held-out accuracy by up to 35.9 points on a context-management task while reducing compute.

Ru-Lin Shao, Shannon Zejiang Shen, J. Yin et al. · 0 citations
Preprint Aug 2026

Prefix Sliding for efficient test-time scaling

Prefix Sliding is proposed, which discards tokens during reasoning that are not part of the prefix or the window of the last few thousand tokens, allowing for efficient long-horizon test-time scaling.

Niklas Muennighoff, Zhengyuan Wang, Zeya Chen et al. · 1 citation · ⚡1

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