4 papers · 1 filter
HiGenTrans: Hierarchical LLM Knowledge Transfer for Generative Recommendation
Zhuohang Jiang, Yuxin Chen, Haohao Qu +13
Generative recommendation promises to simplify conventional multi-stage recommender systems by generating item Semantic IDs (SIDs) autoregressively. However, two obstacles limit it…
ReMem: Rethinking Perception and Memory in Long-Context Recommendation Agents
Haohao Qu, Yongcheng Jing, Chun Hin Chan +3
Recent Recommendation Agents (RecAgents) offer a promising alternative by shifting recommendation to an active, user-side paradigm, where generative agents autonomously perceive ex…
A/B Agent: A Self-Evolving Agent for Strategy Iteration in Industrial A/B Testing
Zhuohang Jiang, Yuxin Chen, Yongsen Pan +9
Industrial recommendation strategy iteration heavily relies on large-scale A/B experimentation. Traditional tuning requires experts to repeatedly design strategies, configure exper…
Beyond Description: A Multimodal Agent Framework for Insightful Chart Summarization
Yuhang Bai, Yujuan Ding, Shanru Lin +1
Chart summarization is crucial for enhancing data accessibility and the efficient consumption of information. However, existing methods, including those with Multimodal Large Langu…