60 lines
2.1 KiB
Markdown
60 lines
2.1 KiB
Markdown
|
---
|
||
|
date: '2023-01-29T10:53:23'
|
||
|
hypothesis-meta:
|
||
|
created: '2023-01-29T10:53:23.198884+00:00'
|
||
|
document:
|
||
|
title:
|
||
|
- 2301.11305.pdf
|
||
|
flagged: false
|
||
|
group: __world__
|
||
|
hidden: false
|
||
|
id: JoZDmp_DEe2QSbcSZI0WEA
|
||
|
links:
|
||
|
html: https://hypothes.is/a/JoZDmp_DEe2QSbcSZI0WEA
|
||
|
incontext: https://hyp.is/JoZDmp_DEe2QSbcSZI0WEA/arxiv.org/pdf/2301.11305.pdf
|
||
|
json: https://hypothes.is/api/annotations/JoZDmp_DEe2QSbcSZI0WEA
|
||
|
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: 27924
|
||
|
start: 27657
|
||
|
type: TextPositionSelector
|
||
|
- exact: We find that supervised detectors can provide similardetection performance
|
||
|
to DetectGPT on in-distribution datalike English news, but perform significantly
|
||
|
worse than zero-shot methods in the case of English scientific writing andfail
|
||
|
altogether for German writing. T
|
||
|
prefix: 'm each dataset for evalua-tion. '
|
||
|
suffix: his finding echoes pastwork show
|
||
|
type: TextQuoteSelector
|
||
|
source: https://arxiv.org/pdf/2301.11305.pdf
|
||
|
text: supervised detection methods fail on out of domain examples whereas detectgpt
|
||
|
seems to be robust to changes in domain.
|
||
|
updated: '2023-01-29T10:53:23.198884+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/2023/01/29/1674989603
|
||
|
|
||
|
---
|
||
|
|
||
|
|
||
|
|
||
|
<blockquote>We find that supervised detectors can provide similardetection performance to DetectGPT on in-distribution datalike English news, but perform significantly worse than zero-shot methods in the case of English scientific writing andfail altogether for German writing. T</blockquote>supervised detection methods fail on out of domain examples whereas detectgpt seems to be robust to changes in domain.
|