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@ -43,11 +43,11 @@ We've provided a starter baseline which trains a logistic regression detector on
### Initial Analysis
<img src="https://i.imgur.com/PZ3GOeS.png" width="723.0" height="450" title="Impact of Document Length">
<img src="https://i.imgur.com/PZ3GOeS.png" width="713" height="502" title="Impact of Document Length">
Shorter documents are harder to detect. Accuracy of detection of a short documents of 500 characters (a long paragraph) is about 15% lower.
<img src="https://i.imgur.com/eH9Ogqo.png" width="713.0" height="502" title="Part of Speech Analysis">
<img src="https://i.imgur.com/eH9Ogqo.png" width="723" height="450" title="Part of Speech Analysis">
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.