Recent advances in Foundation Models such as Large Language Models (LLMs) have propelled them to the forefront of Recommender Systems (RS). Despite their utility, there is a growing concern that LLMs ...

SEED is a first diffusion-based embedding enhancement framework designed to improve speaker representation robustness under adverse acoustic conditions. It leverages a powerful diffusion network ...