March 19, 2024, 4:42 a.m. | Zhehui Huang, Guangyao Shi, Gaurav S. Sukhatme

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.10795v1 Announce Type: cross
Abstract: LLMs have shown impressive progress in robotics (e.g., manipulation and navigation) with natural language task descriptions. The success of LLMs in these tasks leads us to wonder: What is the ability of LLMs to solve vehicle routing problems (VRPs) with natural language task descriptions? In this work, we study this question in three steps. First, we construct a dataset with 21 types of single- or multi-vehicle routing problems. Second, we evaluate the performance of LLMs …

arxiv cs.ai cs.cl cs.lg cs.ro language language models large language large language models routes routing type words

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