AnalysisAI ModelsSeptember 24, 2026

FLEET paper targets temperature sampling limits in LLM decoding

Read original source →arxiv.org

Paper proposes FLEET, a method that replaces memoryless temperature sampling by using logits entropy to guide text generation trajectories. Author Oleksii Streltsov argues sampling without awareness of prior generations is inherently suboptimal.

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FLEET paper targets temperature sampling limits in LLM decoding