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Researchers carried out a series of experiments passing a number of essays to different GPT detection models. Juxtaposing detector predictions for papers written by native and non-native English writers, the authors argue that GPT detectors disproportionately classify real writing from non-native English writers as AI-generated.
| Version: | 0.1.0 |
| Depends: | R (≥ 2.10) |
| Suggests: | knitr |
| Published: | 2023-10-26 |
| DOI: | 10.32614/CRAN.package.detectors |
| Author: | Simon Couch [cre, aut] |
| Maintainer: | Simon Couch <simonpatrickcouch at gmail.com> |
| License: | MIT + file LICENSE |
| URL: | https://simonpcouch.github.io/detectors/ |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | detectors results |
| Reference manual: | detectors.pdf |
| Package source: | detectors_0.1.0.tar.gz |
| Windows binaries: | r-devel: detectors_0.1.0.zip, r-release: detectors_0.1.0.zip, r-oldrel: detectors_0.1.0.zip |
| macOS binaries: | r-release (arm64): detectors_0.1.0.tgz, r-oldrel (arm64): detectors_0.1.0.tgz, r-release (x86_64): detectors_0.1.0.tgz, r-oldrel (x86_64): detectors_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.