RoFT tool is used to quantify the human identification of texts generated by TGM. Humans need to identify the edge of text transition from human generated to machine generated.

San Jose State University

A system that leverages the use of human visual skills and common sense.

- Differences in human and machine detector
 - Supporting untrained humans
 - Real or Fake Text (RoFT) tool     


Human-machine collaboration 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



 - A research which focus to differentiate the ability of humans and machines to detect the text generated by TGM.The important outcomes of the obervations are

 - Human detetors are capable of indentiying contradictions and semantic errors due to the posession of extensive sematic knowledge.
 - Machine detectors are capable of finding out high frequency words.


Differences in human and machine detector

GLTR tool can identify unexpected and out of context words which can help untrained humans to detect machine generated texts.

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