LaT: LLM-as-Trainer for Multi-Task Vehicle Routing Solvers
LaT is proposed, a plug-and-play training paradigm that uses a pretrained large language model as an external trainer that improves the solution quality of several state-of-the-art multi-task neural solvers on both trained and unseen variants, supporting the effectiveness and generality of the proposed training paradig...