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brainsteam/content/annotations/2023/01/29/1674989465.md

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+---
+date: '2023-01-29T10:51:05'
+hypothesis-meta:
+  created: '2023-01-29T10:51:05.830376+00:00'
+  document:
+    title:
+    - 2301.11305.pdf
+  flagged: false
+  group: __world__
+  hidden: false
+  id: 1KcQzJ_CEe26lwMlz8h5FA
+  links:
+    html: https://hypothes.is/a/1KcQzJ_CEe26lwMlz8h5FA
+    incontext: https://hyp.is/1KcQzJ_CEe26lwMlz8h5FA/arxiv.org/pdf/2301.11305.pdf
+    json: https://hypothes.is/api/annotations/1KcQzJ_CEe26lwMlz8h5FA
+  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: 39629
+      start: 39349
+      type: TextPositionSelector
+    - exact: hile in this work, we use off-the-shelfmask-filling models such as T5
+        and mT5 (for non-Englishlanguages), some domains may see reduced performanceif
+        existing mask-filling models do not well represent thespace of meaningful
+        rephrases, reducing the quality of thecurvature estimate.
+      prefix: onable pertur-bation function. W
+      suffix: ' While DetectGPT provides the be'
+      type: TextQuoteSelector
+    source: https://arxiv.org/pdf/2301.11305.pdf
+  text: The approach requires access to language models that can meaningfully and
+    accurately rephrase (perturbate) the outputs from the model under evaluation.
+    If these things do not align then it may not work well.
+  updated: '2023-01-29T10:51:05.830376+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/2023/01/29/1674989465
+
+---
+
+
+
+ <blockquote>hile in this work, we use off-the-shelfmask-filling models such as T5 and mT5 (for non-Englishlanguages), some domains may see reduced performanceif existing mask-filling models do not well represent thespace of meaningful rephrases, reducing the quality of thecurvature estimate.</blockquote>The approach requires access to language models that can meaningfully and accurately rephrase (perturbate) the outputs from the model under evaluation. If these things do not align then it may not work well.