Published several papers on NLP, personalized recommendation systems, and more, including: A survey on personalized and pluralistic preference alignment in Large Language Models, In-context ranking preference optimization, Latent Factor Models Meets Instructions: Goal-conditioned Latent Factor Discovery without Task Supervision, etc. Involved in multiple open-source projects and presented research findings at various top-tier conferences.
Research Experience
Collaborating with Prof. Julian McAuley at UC San Diego, focusing on the intersection of NLP and personalization.
Education
PhD student at UC San Diego since 2023, working under Prof. Julian McAuley; undergraduate study at UC Irvine, where he worked on robustness and interpretability in NLP with Prof. Sameer Singh.
Background
Research interests include Natural Language Processing (NLP) and personalization, with a particular focus on language technology for user-facing systems.