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Detecting AI-Generated Text

Published on:

6 September 2023

Primary Category:

Computation and Language

Paper Authors:

Zhenpeng Su,

Xing Wu,

Wei Zhou,

Guangyuan Ma,

Songlin Hu

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Key Details

Current detectors fail on semantic-invariant tasks like summarization

Proposed a new dataset with more hard semantic-invariant samples

Also created a better detector using instruction tuning

Their detector outperforms previous state-of-the-art methods

AI generated summary

Detecting AI-Generated Text

This paper introduces a new dataset and method for detecting text generated by AI models like ChatGPT. The authors found existing detectors struggled on semantic-invariant tasks like summarization and translation. Their dataset has more of these challenging samples. They also propose a detector using instruction tuning that outperforms previous methods.

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