Éric Villemonte de la Clergerie

Headless Language Models: Learning without Predicting with Contrastive Weight Tying

Self-supervised pre-training of language models usually consists in predicting probability distributions over extensive token vocabularies. In this study, we propose an innovative method that shifts away from probability prediction and instead focuses on reconstructing input embeddings in a contrast…