3 papers
cs.AI2025
Do Math Reasoning LLMs Help Predict the Impact of Public Transit Events?
Bowen Fang, Ruijian Zha, Xuan Di
Predicting public transit incident duration from unstructured text alerts is a critical but challenging task. Addressing the domain sparsity of transit operations with standard Sup…
cs.AI2024
TraveLLM: Could you plan my new public transit route in face of a network disruption?
Bowen Fang, Zixiao Yang, Xuan Di
Existing navigation systems often fail during urban disruptions, struggling to incorporate real-time events and complex user constraints, such as avoiding specific areas. We addres…
cs.AI2024
Learn to Tour: Operator Design For Solution Feasibility Mapping in Pickup-and-delivery Traveling Salesman Problem
Bowen Fang, Xu Chen, Xuan Di
This paper aims to develop a learning method for a special class of traveling salesman problems (TSP), namely, the pickup-and-delivery TSP (PDTSP), which finds the shortest tour al…