Personalized Generative AI

Probing Large Language Models as User Simulators for Conversational Recommendation, Se-eun Yoon, Zhankui He and Julian McAuley

Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction, Wang-Cheng Kang, Jianmo Ni, Nikhil Mehta, Maheswaran Sathiamoorthy, Lichan Hong, Ed Chi and Derek Zhiyuan Cheng (Paper link)

LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking, Zhenrui Yue, Sara Rabhi, Gabriel de Souza Pereira Moreira, Dong Wang and Even Oldridge (Paper link)

ChatCounselor: A Large Language Models for Mental Health Support, He Cao, Mengyuan Liu, Donghao Li, Tianhe Ren, Zeyi Liao and Jiamin Wu (Paper link)

Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models, Yao Zhang, Christopher Richardson, Kellen Gillespie, Sudipta Kar, Arshdeep Singh, Zeynab Raeesy, Omar Zia Khan and Abhinav Sethy (Paper link)

Hiformer: Heterogeneous Feature Interactions with Transformers for Recommender Systems, Huan Gui, Ruoxi Wang, Ke Yin, Long Jin, Maciej Kula, Taibai Xu, Lichan Hong and Ed Chi

On the steerability of large language models toward data-driven personas, Junyi Li, Ninareh Mehrabi, Charith Peris, Palash Goyal, Kai-Wei Chang, Aram Galstyan, Richard Zemel and Rahul Gupta (Paper link)

RecMind: Large Language Model Powered Agent For Recommendations, Yancheng Wang, Ziyan Jiang, Zheng Chen, Fan Yang, Yingxue Zhou, Eunah Cho, Xing Fan, Xiaojiang Huang, Yanbin Lu, Yingzhen Yang and Edward Guo (Paper link)

On the Effectiveness of Creating Conversational Agent Personalities Through Prompting, Heng Gu, Chadha Degachi, Uğur Genç, Senthil Chandrasegaran and Himanshu Verma (Paper link)