GLTR: Statistical Detection and Visualization of Generated Text

Sebastian Gehrmann
Sebastian Gehrmann

ACL (3), pp. 111-116, 2019.

Cited by: 0|Bibtex|Views107|DOI:https://doi.org/10.18653/v1/p19-3019
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Other Links: dblp.uni-trier.de|arxiv.org

Abstract:

The rapid improvement of language models has raised the specter of abuse of text generation systems. This progress motivates the development of simple methods for detecting generated text that can be used by and explained to non-experts. We develop GLTR, a tool to support humans in detecting whether a text was generated by a model. GLTR...More

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