Internal Data Repetition Destroys Language Models

Jessica Chudnovsky, Joshua Kazdan, Noam Levi +6

Language models are running out of high-quality training data, and even aggressively deduplicated corpora retain some amount of repetition. Earlier controlled studies predated Chin…