SOURCE-LINKED INTELLIGENCE
UTP-Bench: Uncertainty-aware Travel Planning Benchmark
Large Language Models (LLMs) have recently demonstrated strong capabilities in automated travel itinerary generation. However, real- world travel planning is inherently uncertain: transportation delays, crowd fluctuations, and unexpected stochastic delays frequently inval- idate otherwise feasible schedules. Existing benchmarks like TravelPlanner and TripCraft assume deterministic environments, evaluating only static constraint satisfaction and ignoring whether generated plans remain robust when such uncertainties arise. To address this limitation, we introduce UTP-Bench1 , a large-scale bench
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-02T10:42:18.000Z
First collected: 2026-09-21T05:32:15.665Z. This is not the publication date.