SynthCharge: An Electric Vehicle Routing Instance Generator with Feasibility Screening to Enable Learning-Based Optimization and Benchmarking
Industrial and Systems Engineering, University of Miami, Coral Gables, FL, USA（迈阿密大学工业与系统工程系）；Faculty of Engineering, Cyprus International University 99258 Nicosia, North Cyprus, via Mersin 10, Turkey（塞浦路斯国际大学工程学院）；Engineering Management and Systems Engineering, Missouri University of Science and Technology, Rolla, MO, USA（密苏里科学与技术大学工程管理与系统工程系）
Mertcan Daysalilar, Fuat Uyguroglu, Gabriel Nicolosi, Adam Meyers
The electric vehicle routing problem with time windows (EVRPTW) extends the classical VRPTW by introducing battery capacity constraints and charging station decisions. Existing benchmark datasets are often static and lack verifiable feasibility, which restricts reproducible evaluation of learning-based routing models. We introduce SynthCharge, a parametric generator that produces diverse, feasibility-screened EVRPTW instances across varying spatiotemporal configurations and scalable customer counts. While SynthCharge can currently generate large-scale instances of up to 500 customers, we focus our experiments on sizes ranging from 5 to 100 customers. Unlike static benchmark suites, SynthCharge integrates instance geometry with adaptive energy capacity scaling and range-aware charging station placement. To guarantee structural validity, the generator systematically filters out unsolvable instances through a fast feasibility screening process. Ultimately, SynthCharge provides the dynamic benchmarking infrastructure needed to systematically evaluate the robustness of emerging neural routing and data-driven approaches.
Benchmarking Multi-Agent LLM Architectures for Financial Document Processing: A Comparative Study of Orchestration Patterns, Cost-Accuracy Tradeoffs and Production Scaling Strategies
Department of Computer Science and Engineering（计算机科学与工程系）；New York University（纽约大学）；New York, NY 10012（纽约市NY 10012）
Dental-TriageBench: Benchmarking Multimodal Reasoning for Hierarchical Dental Triage
School of Computing and Data Science, The University of Hong Kong（香港大学计算与数据科学学院）；Faculty of Dentistry, The University of Hong Kong（香港大学牙科学院）；The Prince Philip Dental Hospital（菲利普王子牙科医院）；Li Ka Shing Faculty of Medicine, The University of Hong Kong（香港大学利滋医学学院）；The Hong Kong University of Science and Technology（香港科学与技术大学）
Benchmarking OCR Pipelines with Adaptive Enhancement for Multi-Domain Retail Bill Digitization
Data Analytics Team Lead, JP Research India Pvt. Ltd.（JP Research India Pvt. Ltd. 数据分析团队负责人）；PhD Scholar, Business Analytics and Information Technology（Business Analytics and Information Technology 博士学者）
URB -- Urban Routing Benchmark for RL-equipped Connected Autonomous Vehicles
Doctoral School of Exact and Natural Sciences, Jagiellonian University（杰尔吉利亚大学精确与自然科学博士学院）；Faculty of Mathematics and Computer Science, Jagiellonian University（杰尔吉利亚大学数学与计算机科学学院）；Urban Policy Observatory, Institute of Urban and Regional Development（城市政策观察所，城市与区域发展研究所）
Improving Generalization of Neural Vehicle Routing Problem Solvers Through the Lens of Model Architecture
Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University（吉林大学计算机科学与技术学院、教育部符号计算与知识工程重点实验室）；Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly, Nanyang Technological University（南洋理工大学、新加坡国立大学-不列颠哥伦比亚大学老年人积极生活联合卓越研究中心）；WeBank-NTU Joint Research Institute on Fintech, Nanyang Technological University（南洋理工大学微众银行金融科技联合研究院）；College of Computing and Data Science, Nanyang Technological University（南洋理工大学计算与数据科学学院）
Learning to Route Electric Trucks Under Operational Uncertainty
Delft University of Technology, Intelligent Electrical Power Grids（代尔夫特理工大学，智能电力电网）；Massachusetts Institute of Technology, Center of Transportation and Logistics（麻省理工学院，交通与物流中心）；Massachusetts Institute of Technology, Department of Aeronautics and Astronautics（麻省理工学院，航空与航天系）
