A suite of statistical methods which can highlight the differences in text generated by GPT-2 model and human written text.

San Jose State University

Google

In this a pre trained TGM model is used to classify texts generated from its model or similar models.

 - Total log probability
 - Giant Language model Test Room (GLTR) tool


Zero-shot classifier for TGMs

Automatic Detection of Machine Generated Text: A Critical Survey
by Ganesh Jawahar, Muhammad Abdul-Mageed, Laks V.S. Lakshmanan
https://arxiv.org/pdf/2011.01314.pdf

Automatic Detection of Machine Generated Text: A Critical Survey


Reference of Foundations of Large Language Models Course

A baseline TGM model which evaluates the log likelihood probability, and thresholds based on this probability to make the prediction.

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