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Jin Sima

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Temperature Sampling is Entropy-Optimal: An Information-Theoretic Framework for LLM Decoding

This paper develops a rigorous information-theoretic framework for non-repetitive sequence generation and uses it to provide theoretical underpinnings for temperature-based sampling, and extends it to the practically relevant and novel online setting, where the model’s token distributions evolve and are revealed sequen...

Jin Sima, Nikolaos Papagiannis, Ananth Grama et al. · 0 citations

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