---
date: '2023-01-29T10:35:56'
hypothesis-meta:
  created: '2023-01-29T10:35:56.649264+00:00'
  document:
    title:
    - 2301.11305.pdf
  flagged: false
  group: __world__
  hidden: false
  id: tr0lTp_AEe2k81d5ilJ0Xw
  links:
    html: https://hypothes.is/a/tr0lTp_AEe2k81d5ilJ0Xw
    incontext: https://hyp.is/tr0lTp_AEe2k81d5ilJ0Xw/arxiv.org/pdf/2301.11305.pdf
    json: https://hypothes.is/api/annotations/tr0lTp_AEe2k81d5ilJ0Xw
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    delete:
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  tags:
  - chatgpt
  - detecting gpt
  target:
  - selector:
    - end: 1096
      start: 756
      type: TextPositionSelector
    - exact: his approach, which we call DetectGPT,does not require training a separate
        classifier, col-lecting a dataset of real or generated passages, orexplicitly
        watermarking generated text. It usesonly log probabilities computed by the
        model ofinterest and random perturbations of the passagefrom another generic
        pre-trained language model(e.g, T5)
      prefix: ' is generated from a givenLLM. T'
      suffix: . We find DetectGPT is more disc
      type: TextQuoteSelector
    source: https://arxiv.org/pdf/2301.11305.pdf
  text: The novelty of this approach is that it is cheap to set up as long as you
    have the log probabilities generated by the model of interest.
  updated: '2023-01-29T10:35:56.649264+00:00'
  uri: https://arxiv.org/pdf/2301.11305.pdf
  user: acct:ravenscroftj@hypothes.is
  user_info:
    display_name: James Ravenscroft
in-reply-to: https://arxiv.org/pdf/2301.11305.pdf
tags:
- chatgpt
- detecting gpt
- hypothesis
type: annotation
url: /annotations/2023/01/29/1674988556

---



 <blockquote>his approach, which we call DetectGPT,does not require training a separate classifier, col-lecting a dataset of real or generated passages, orexplicitly watermarking generated text. It usesonly log probabilities computed by the model ofinterest and random perturbations of the passagefrom another generic pre-trained language model(e.g, T5)</blockquote>The novelty of this approach is that it is cheap to set up as long as you have the log probabilities generated by the model of interest.