6 papers
Learning to Staff: Offline Reinforcement Learning and Fine-Tuned LLMs for Warehouse Staffing Optimization
Kalle Kujanpää, Yuying Zhu, Kristina Klinkner +1
We investigate machine learning approaches for optimizing real-time staffing decisions in semi-automated warehouse sortation systems. Operational decision-making can be supported a…
Hurdle-IMDL: An Imbalanced Learning Framework for Infrared Rainfall Retrieval
Fangjian Zhang, Xiaoyong Zhuge, Wenlan Wang +3
Artificial intelligence has advanced quantitative remote sensing, yet its effectiveness is constrained by imbalanced label distribution. This imbalance leads conventionally trained…
BranchGRPO: Stable and Efficient GRPO with Structured Branching in Diffusion Models
Yuming Li, Yikai Wang, Yuying Zhu +4
Recent progress in aligning image and video generative models with Group Relative Policy Optimization (GRPO) has improved human preference alignment, but existing variants remain i…
Uncovering Customer Issues through Topological Natural Language Analysis
Shu-Ting Pi, Sidarth Srinivasan, Yuying Zhu +2
E-commerce companies deal with a high volume of customer service requests daily. While a simple annotation system is often used to summarize the topics of customer contacts, thorou…
Universal Model in Online Customer Service
Shu-Ting Pi, Cheng-Ping Hsieh, Qun Liu +1
Building machine learning models can be a time-consuming process that often takes several months to implement in typical business scenarios. To ensure consistent model performance…
Teacher-Student Learning on Complexity in Intelligent Routing
Shu-Ting Pi, Michael Yang, Yuying Zhu +1
Customer service is often the most time-consuming aspect for e-commerce websites, with each contact typically taking 10-15 minutes. Effectively routing customers to appropriate age…