Zhaochun Ren

A new framework boosts large language models' ability to use tools effectively.

A new system that enhances recommendations through engaging conversations and real-time user feedback.

PPLR enhances privacy while improving recommendation system efficiency.

An innovative approach to personalized news suggestions using language models.

Research focuses on enhancing user satisfaction models with balanced datasets.

ColaRec merges collaborative and content signals to enhance item recommendations.

A look into dense and generative retrieval techniques and their impact.

A fresh approach improves predictions for session-based product recommendations.

Few-shot indexing improves information retrieval by combining indexing and retrieval processes efficiently.

This study aims to improve QA systems for languages with limited data.