7 citations · 9 across the 5 of their papers we have counts for
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cs.CV2026
LIBERO-X: Robustness Litmus for Vision-Language-Action Models
Guodong Wang, Chenkai Zhang, Qingjie Liu +4
Reliable benchmarking is critical for advancing Vision-Language-Action (VLA) models, as it reveals their generalization, robustness, and alignment of perception with language-drive…
cs.CV2025
SeriesBench: A Benchmark for Narrative-Driven Drama Series Understanding
Chenkai Zhang, Yiming Lei, Zeming Liu +5
With the rapid development of Multi-modal Large Language Models (MLLMs), an increasing number of benchmarks have been established to evaluate the video understanding capabilities o…
cs.CV2025★ 2 cited
A Survey on Remote Sensing Foundation Models: From Vision to Multimodality
Ziyue Huang, Hongxi Yan, Qiqi Zhan +7
The rapid advancement of remote sensing foundation models, particularly vision and multimodal models, has significantly enhanced the capabilities of intelligent geospatial data int…