20
An open-source LLM text detector
(blog.thinkst.com)
A nice place to discuss rumors, happenings, innovations, and challenges in the technology sphere. We also welcome discussions on the intersections of technology and society. If it’s technological news or discussion of technology, it probably belongs here.
Remember the overriding ethos on Beehaw: Be(e) Nice. Each user you encounter here is a person, and should be treated with kindness (even if they’re wrong, or use a Linux distro you don’t like). Personal attacks will not be tolerated.
Subcommunities on Beehaw:
This community's icon was made by Aaron Schneider, under the CC-BY-NC-SA 4.0 license.
It's not if you're aware of Generative Adversarial Network, it's a losing game for the detector, because anything you use to try and detect generated content would only strengthen the neural net model itself, so by making a detector, you're making it better at evading detection. At least in language model, they are looking at how GAN can be applied in language model.