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Scaling of Capability and Efficiency at Inference Time in Large Reasoning Models

arXiv:2609.27166v1 Announce Type: new Abstract: Capability and efficiency are two key dimensions of reasoning in large language models (LLMs). Capability refers to the ability to solve a given problem correctly, whereas efficiency refers to the ability to do so with limited resources. When LLMs use…

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  1. 2026-09-24 04:00 · arXiv cs.LG
    Scaling of Capability and Efficiency at Inference Time in Large Reasoning Models

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