2 papers
cs.CV2026
TRIP-Evaluate: An Open Multimodal Benchmark for Evaluating Large Models in Transportation
Han Gong, Zhen Zhou, Yunyang Shi +4
Large language models (LLMs) and multimodal large models (MLLMs) are increasingly used for transportation tasks such as regulation question answering, traffic management support, e…
cs.LG2026
Let Experts Feel Uncertainty: A Multi-Expert Label Distribution Approach to Probabilistic Time Series Forecasting
Zhen Zhou, Zhirui Wang, Qi Hong +3
Time series forecasting in real-world applications requires both high predictive accuracy and interpretable uncertainty quantification. Traditional point prediction methods often f…