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Primary-source image accompanying Preprint proposes continuous difficulty estimates to reduce LLM self-consistency costsInkuru yo hejuru
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Preprint proposes continuous difficulty estimates to reduce LLM self-consistency costs

A new arXiv preprint proposes Flexible Self-Consistency, a method that estimates how uncertain a language model is about a question and adjusts the number of sampled reasoning paths. The authors report token savings of up to 76% while maintaining accuracy comparable to standard self-consistency across various…

Soma inkuru Inkomoko yemejwe: arxiv.org
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