2 papers
cs.LG2026
Vehicle-as-Prompt: A Unified Deep Reinforcement Learning Framework for Heterogeneous Fleet Vehicle Routing Problem
Shihong Huang, Shengjie Wang, Lei Gao +4
Unlike traditional homogeneous routing problems, the Heterogeneous Fleet Vehicle Routing Problem (HFVRP) involves heterogeneous fixed costs, variable travel costs, and capacity con…
cs.CL2025
Submodular Context Partitioning and Compression for In-Context Learning
Shaoyi Zheng, Canyu Zhang, Tianyi Zhou +1
In-context learning (ICL) enables efficient few-shot learning in large language models (LLMs) without training, but suffers from the quadratic input complexity of transformers, lim…