Fine-tuning transformer-based deep-learning models are currently at the forefront of natural
language processing (NLP) and information retrieval (IR) tasks. However, fine-tuning these …

Large-scale industrial recommendation models predict the most relevant items from catalogs
containing millions or billions of options. To train these models efficiently, a small set of …

In implicit collaborative filtering, hard negative mining techniques are developed to
accelerate and enhance the recommendation model learning. However, the inadvertent …