3 papers
cs.MA2026
LLM-ALSO: LLM-Driven Adaptive Learning-Signal Optimization for Multi-Agent Reinforcement Learning
Xiaoguang Wu, Zhi Zheng, Hui Xiong
Effective training-time guidance is central to multi-agent reinforcement learning (MARL), yet remains difficult in sparse-reward settings where weak supervision limits coordination…
cs.IR2025
Unleashing the Power of Large Language Model for Denoising Recommendation
Shuyao Wang, Zhi Zheng, Yongduo Sui +1
Recommender systems are crucial for personalizing user experiences but often depend on implicit feedback data, which can be noisy and misleading. Existing denoising studies involve…
cs.IR2025
Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation
Yuyang Ye, Zhi Zheng, Yishan Shen +6
Recent advances in Large Language Models (LLMs) have demonstrated significant potential in the field of Recommendation Systems (RSs). Most existing studies have focused on converti…