From aa8ba5f150ef3d5e6fe78b6322c5e1fec7bdf685 Mon Sep 17 00:00:00 2001 From: ravenscroftj Date: Sun, 29 Jan 2023 10:45:17 +0000 Subject: [PATCH] Add 'brainsteam/content/annotations/2023/01/29/1674988556.md' --- .../annotations/2023/01/29/1674988556.md | 61 +++++++++++++++++++ 1 file changed, 61 insertions(+) create mode 100644 brainsteam/content/annotations/2023/01/29/1674988556.md diff --git a/brainsteam/content/annotations/2023/01/29/1674988556.md b/brainsteam/content/annotations/2023/01/29/1674988556.md new file mode 100644 index 0000000..1fc41ff --- /dev/null +++ b/brainsteam/content/annotations/2023/01/29/1674988556.md @@ -0,0 +1,61 @@ +--- +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 + permissions: + admin: + - acct:ravenscroftj@hypothes.is + delete: + - acct:ravenscroftj@hypothes.is + read: + - group:__world__ + update: + - acct:ravenscroftj@hypothes.is + 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 + +--- + + + +
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)
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. \ No newline at end of file