AI RESEARCH
TRIP-Evaluate: An Open Multimodal Benchmark for Evaluating Large Models in Transportation
arXiv CS.LG
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ArXi:2605.00907v1 Announce Type: cross Large language models (LLMs) and multimodal large models (MLLMs) are increasingly used for transportation tasks such as regulation question answering, traffic management, engineering review, and autonomous-driving scene reasoning. Yet transportation workflows are rule-intensive, computation-intensive, safety-critical, and inherently multimodal.