Sriram Gopalakrishnan, Ph.D.

Sriram Gopalakrishnan, Ph.D.

AI Research Lead at J.P. Morgan Chase | Sequential-Decision Making Problems, Human-AI Interaction, & Generative AI

TRIP-PAL: Travel Planning with Guarantees by Combining Large Language Models and Automated Planners

Published in arXiv preprint arXiv:2406.10196 (2024), 2024

Recommended citation: de la Rosa, T., Gopalakrishnan, S., Pozanco, A., Zeng, Z., & Borrajo, D. (2024). TRIP-PAL: Travel planning with guarantees by combining large language models and automated planners. arXiv:2406.10196. https://arxiv.org/abs/2406.10196

Abstract

While LLMs generate convincing travel recommendations, they frequently violate hard budget, timing, transit, and opening-hour constraints. TRIP-PAL leverages LLMs for extracting user preferences and entity recognition while dispatching constraint satisfaction and temporal routing to symbolic automated planners, guaranteeing fully feasible and optimal travel itineraries.

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Recommended citation: de la Rosa, T., Gopalakrishnan, S., Pozanco, A., Zeng, Z., & Borrajo, D. (2024). TRIP-PAL: Travel planning with guarantees by combining large language models and automated planners. arXiv:2406.10196.