Agah, Shaghayegh

Architecture is All You Need: Improving LLM Recommenders by Dropping the Text

2025 · arXiv (Cornell University)

In recent years, there has been an explosion of interest in the applications of large pre-trained language models (PLMs) to recommender systems, with many studies showing strong performance of PLMs on common benchmark datasets. PLM-based …