Few-Shot Detection of Machine-Generated Text using Style Representations

arXiv:2401.06712v2 Announce Type: replace-cross
Abstract: The advent of instruction-tuned language models that convincingly mimic human writing poses a significant risk of abuse. However, such abuse may be counteracted with the ability to detect whether a piece of text was composed by a language model rather than a human author. Some previous approaches to this problem have relied on supervised methods by training on corpora of confirmed human- and machine- written documents. Unfortunately, model under-specification poses an unavoidable challenge for neural …

arxiv cs.cl cs.lg detection few-shot generated machine style text type