2026
Massive Memorization with Hundreds of Trillions of Parameters for Sequential Transducer Generative Recommenders
ICLR 2026poster
Modern large-scale recommendation systems rely heavily on user interaction history sequences to enhance the model performance. The advent of large language models and sequential modeling techniques, particularly transformer architectures, has led to significant advancements (e.g., HSTU, SIM, and TW…