6 citations · 6 across the 4 of their papers we have counts for
4 papers
Unsupervised Style Representation Learning for AI-Text Detection via Paraphrase Inversion
Rafael Rivera Soto, Barry Chen, Nicholas Andrews
The rapid development of large language models (LLMs) has raised concerns about misuse such as plagiarism, misinformation, and automated influence operations, motivating the need f…
Attacks on Machine-Text Detectors Retain Stylistic Fingerprints
Rafael Rivera Soto, Barry Chen, Nicholas Andrews
Despite considerable progress in the development of machine-text detectors, the ease with which machine-text can be manipulated to evade detection has led to suggestions that the p…
Mitigating Paraphrase Attacks on Machine-Text Detectors via Paraphrase Inversion
Rafael Rivera Soto, Barry Chen, Nicholas Andrews
High-quality paraphrases are easy to produce using instruction-tuned language models or specialized paraphrasing models. Although this capability has a variety of benign applicatio…
Few-Shot Detection of Machine-Generated Text using Style Representations
Rafael Rivera Soto, Kailin Koch, Aleem Khan +3
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…