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News/Select to Think: Unlocking SLM Potential with Local Sufficiency
arxiv
PublishedJune 12, 2026 at 4:00 AM

Select to Think: Unlocking SLM Potential with Local Sufficiency

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arXiv:2604.26940v2 Announce Type: replace Abstract: Small language models (SLMs) offer efficient deployment, yet they often lag behind their larger counterparts (LLMs) in reasoning. Existing remedies either invoke an LLM at points of reasoning divergence, incurring substantial latency and cost, or r

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