7 citations · 8 across the 7 of their papers we have counts for
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cs.CV2026
WM-VLM: Probing Internal World Models for Interleaved Visual-Textual Reasoning
Yuheng Zha, Yilei Wang, Qiyue Gao +5
Humans often solve spatial problems by mentally simulating visual transformations. In contrast, conventional vision-language models (VLMs) reason primarily through language. We inv…
cs.CV2025
Vision-G1: Towards General Vision Language Reasoning with Multi-Domain Data Curation
Yuheng Zha, Kun Zhou, Yujia Wu +7
Despite their success, current training pipelines for reasoning VLMs focus on a limited range of tasks, such as mathematical and logical reasoning. As a result, these models face d…
cs.CV2024★ 1 cited
Pandora: Towards General World Model with Natural Language Actions and Video States
Jiannan Xiang, Guangyi Liu, Yi Gu +10
World models simulate future states of the world in response to different actions. They facilitate interactive content creation and provides a foundation for grounded, long-horizon…