Paper Review, Deep Learning, Llm, Recommendation System, NLP.
Mutually-Regularization. Mutually-regularized pretraining is designed to enhance recommendation systems by refining the pretraining of language models. It helps to filter out irrelevant noise and counteract overfitting caused by sparse data. This is achieved by having two types of language models,