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tweak size
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README.md
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@@ -43,11 +43,11 @@ We've provided a starter baseline which trains a logistic regression detector on
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### Initial Analysis
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<img src="https://i.imgur.com/PZ3GOeS.png" width="
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Shorter documents are harder to detect. Accuracy of detection of a short documents of 500 characters (a long paragraph) is about 15% lower.
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<img src="https://i.imgur.com/eH9Ogqo.png" width="
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Truncated sampling, which is commonly used for high-quality generations from the GPT-2 model family, results in a shift in the part of speech distribution of the generated text compared to real text. A clear example is the underuse of proper nouns and overuse of pronouns which are more generic. This shift contributes to the 8% to 18% higher detection rate of Top-K samples compared to random samples across models.
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### Initial Analysis
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<img src="https://i.imgur.com/PZ3GOeS.png" width="475" height="335" title="Impact of Document Length">
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Shorter documents are harder to detect. Accuracy of detection of a short documents of 500 characters (a long paragraph) is about 15% lower.
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<img src="https://i.imgur.com/eH9Ogqo.png" width="482" height="300" title="Part of Speech Analysis">
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Truncated sampling, which is commonly used for high-quality generations from the GPT-2 model family, results in a shift in the part of speech distribution of the generated text compared to real text. A clear example is the underuse of proper nouns and overuse of pronouns which are more generic. This shift contributes to the 8% to 18% higher detection rate of Top-K samples compared to random samples across models.
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