Our work on distinguishing human language from model language was accepted to EMNLP 2024.
Detecting Subtle Differences between Human and Model Languages Using Spectrum of Relative Likelihood
The paper uses the spectrum of relative likelihood to capture subtle differences between human and machine-generated text, with code released alongside the work.