7 papers
Toward User Preference Alignment in LLM Recommendation via Explicit Context Feedback
Weizhi Zhang, Wooseong Yang, Yuxin Cui +9
Traditional recommender systems (RecSys) primarily infer user preferences from implicit signals (such as clicks, watches, and purchases), often neglecting the rich explicit context…
Column Generation for the Micro-Transit Zoning Problem
Hins Hu, Rishav Sen, Jose Paolo Talusan +3
Along with the rapid development of new urban mobility options like ride-sharing over the past decade, on-demand micro-transit services stand out as a middle ground, bridging the g…
HeuriGym: An Agentic Benchmark for LLM-Crafted Heuristics in Combinatorial Optimization
Hongzheng Chen, Yingheng Wang, Yaohui Cai +10
While Large Language Models (LLMs) have demonstrated significant advancements in reasoning and agent-based problem-solving, current evaluation methodologies fail to adequately asse…
Optimal Micro-Transit Zoning via Clique Generation and Integer Programming
Hins Hu, Rhea Goswami, Hongyi Jiang +1
Micro-transit services offer a promising solution to enhance urban mobility and access, particularly by complementing existing public transit. However, effectively designing these…
Ride-pool Assignment Algorithms: Modern Implementation and Swapping Heuristics
Matthew Zalesak, Hins Hu, Samitha Samaranayake
On-demand ride-pooling has emerged as a popular urban transportation solution, addressing the efficiency limitations of traditional ride-hailing services by grouping multiple ridin…
Vehicle Routing Problems in the Age of Semi-Autonomous Driving
Hins Hu, Samitha Samaranayake
We are in the midst of a semi-autonomous era in urban transportation in which varying forms of vehicle autonomy are gradually being introduced. This phase of partial autonomy is an…