Copyright Traps for Large Language Models

Matthieu Meeus, Igor Shilov, Manuel Faysse +1

Questions of fair use of copyright-protected content to train Large Language Models (LLMs) are being actively debated. Document-level inference has been proposed as a new task: inf…