3 papers
cs.CL2026
How Much Were You Told? Measuring External Information in Peer Reviews
Matthieu Dubois, Pablo Piantanida, François Yvon
Conference policies distinguish using Large Language Models (LLMs) to polish one's own review from delegating the critique, but current Artificial Text Detection (ATD) methods larg…
cs.CL2025
How Sampling Affects the Detectability of Machine-written texts: A Comprehensive Study
Matthieu Dubois, François Yvon, Pablo Piantanida
As texts generated by Large Language Models (LLMs) are ever more common and often indistinguishable from human-written content, research on automatic text detection has attracted g…
cs.CL2024
MOSAIC: Multiple Observers Spotting AI Content
Matthieu Dubois, François Yvon, Pablo Piantanida
The dissemination of Large Language Models (LLMs), trained at scale, and endowed with powerful text-generating abilities, has made it easier for all to produce harmful, toxic, fake…