105 citations · 125 across the 14 of their papers we have counts for
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cs.CV2025
RoadBench: Benchmarking MLLMs on Fine-Grained Spatial Understanding and Reasoning under Urban Road Scenarios
Jun Zhang, Xin Zhang, Jie Feng +5
Multimodal large language models (MLLMs) have demonstrated powerful capabilities in general spatial understanding and reasoning. However, their fine-grained spatial understanding a…
physics.soc-ph2025★ 1 cited
Advancing network resilience theories with symbolized reinforcement learning
Yu Zheng, Jingtao Ding, Depeng Jin +2
Many complex networks display remarkable resilience under external perturbations, internal failures and environmental changes, yet they can swiftly deteriorate into dysfunction upo…
cs.CL2025★ 1 cited
UrbanPlanBench: A Comprehensive Urban Planning Benchmark for Evaluating Large Language Models
Yu Zheng, Longyi Liu, Yuming Lin +4
The advent of Large Language Models (LLMs) holds promise for revolutionizing various fields traditionally dominated by human expertise. Urban planning, a professional discipline th…