Industrial recommender systems have been growing increasingly complex, may
involve\emph {diverse domains} such as e-commerce products and user-generated …

Deployed language models decay over time due to shifting inputs, changing user needs, or
emergent world-knowledge gaps. When such problems are identified, we want to make …

Prompt tuning, in which a base pretrained model is adapted to each task via conditioning on
learned prompt vectors, has emerged as a promising approach for efficiently adapting large …