3 papers
cs.HC2026
From Passive Feeds to Guided Discovery: AI-Initiated Interaction for Vague Intent in Content Exploration
Yu Xie, Ying Qi
Recommendation feeds work well when people are simply browsing, and search works well when they can formulate a query. Between these two cases is a common but poorly supported stat…
cs.LG2026
SAGE: Sequence-level Adaptive Gradient Evolution for Generative Recommendation
Yu Xie, Xing Kai Ren, Ying Qi +1
Reinforcement learning-based preference optimization is increasingly used to align list-wise generative recommenders with complex, multi-objective user feedback, yet existing optim…
cs.AI2025
RecLLM-R1: A Two-Stage Training Paradigm with Reinforcement Learning and Chain-of-Thought v1
Yu Xie, Xingkai Ren, Ying Qi +2
Traditional recommendation systems often grapple with "filter bubbles", underutilization of external knowledge, and a disconnect between model optimization and business policy iter…