2025
LLMAP: LLM-Assisted Multi-Objective Route Planning with User Preferences
EMNLP 2025
The rise of large language models (LLMs) has made natural language-driven route planning an emerging research area that encompasses rich user objectives. Current research exhibits two distinct approaches: direct route planning using LLM-as-Agent and graph-based searching strategies. However, LLMs in