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@@ -73,4 +73,7 @@ I also suspect that state-of-the-art approaches using GPT 3.5/4 or PaLM may be h
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  Ideally, I would use these models for training my classifier, however, this would incur significant expense.
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  Finally, the classifier can be tricked with some simple modification of LLM-written text, by adding rare words or long/short sentences.
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- Given these limitations, I would emphasize that this detector serves as only a loose guide and should not be used for cheating detection.
 
 
 
 
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  Ideally, I would use these models for training my classifier, however, this would incur significant expense.
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  Finally, the classifier can be tricked with some simple modification of LLM-written text, by adding rare words or long/short sentences.
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+ Given these limitations, I would emphasize that this detector serves as only a loose guide and should not be used for cheating detection.
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+
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+ # Code
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+ The model inference is run by app.py, and dependencies are in requirements.txt. The training code is in main.ipynb.