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20232025
most citedDriveMLM: Aligning Multi-Modal Large Language Models with Behavioral Planning States for Autonomous Driving

18 citations · 106 across the 28 of their papers we have counts for

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7 papers · 1 filter

cs.CV2025

GenExam: A Multidisciplinary Text-to-Image Exam

Zhaokai Wang, Penghao Yin, Xiangyu Zhao +5

Exams are a fundamental test of expert-level intelligence and require integrated understanding, reasoning, and generation. Existing exam-style benchmarks mainly focus on understand…

cs.CV2025

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models

Gen Luo, Wenhan Dou, Wenhao Li +9

This paper focuses on monolithic Multimodal Large Language Models (MLLMs), which integrate visual encoding and language decoding into a single model. Existing structures and pre-tr…

cs.CV2025

Visual Embodied Brain: Let Multimodal Large Language Models See, Think, and Control in Spaces

Gen Luo, Ganlin Yang, Ziyang Gong +15

The remarkable progress of Multimodal Large Language Models (MLLMs) has attracted increasing attention to extend them to physical entities like legged robot. This typically require…

cs.AI2025

ZeroGUI: Automating Online GUI Learning at Zero Human Cost

Chenyu Yang, Shiqian Su, Shi Liu +11

The rapid advancement of large Vision-Language Models (VLMs) has propelled the development of pure-vision-based GUI Agents, capable of perceiving and operating Graphical User Inter…

cs.CV2025

Point or Line? Using Line-based Representation for Panoptic Symbol Spotting in CAD Drawings

Xingguang Wei, Haomin Wang, Shenglong Ye +7

We study the task of panoptic symbol spotting, which involves identifying both individual instances of countable things and the semantic regions of uncountable stuff in computer-ai…

cs.CV2025

VisualPRM: An Effective Process Reward Model for Multimodal Reasoning

Weiyun Wang, Zhangwei Gao, Lianjie Chen +12

We introduce VisualPRM, an advanced multimodal Process Reward Model (PRM) with 8B parameters, which improves the reasoning abilities of existing Multimodal Large Language Models (M…

cs.CV2025★ 2 cited

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding

Zhaokai Wang, Xizhou Zhu, Xue Yang +8

Image pyramids are widely adopted in top-performing methods to obtain multi-scale features for precise visual perception and understanding. However, current image pyramids use the…