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The Truncation Blind Spot: How Decoding Strategies Systematically Exclude Human-Like Token Choices
Why does machine-generated text remain detectable? We investigate a mechanistic explanation at the decoding stage: standard strategies such as top-$k$ and nucleus sampling restrict generation to high-probability tokens, while human writers routinely choose contextually appropriate words from deeper
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