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cs.CV2026

Learning to Use Imagination: Progress-Conditioned Future Utilization for World Action Models

Yijie Zhu, Zitong Yu, Wei Li +4

World Action Models (WAMs) extend Vision-Language-Action (VLA) models by incorporating future visual dynamics into action generation. However, existing WAMs often utilize imagined…

cs.CV2026

MinerU.Chem: A High-Precision System for Optical Chemical Structure and Reaction Recognition

Haote Yang, Jiang Wu, Jingchao Wang +42

In organic chemistry papers and patents, molecular structures, reaction schemes, and experimental conditions are often presented as molecular structure depictions, reaction diagram…

cs.CV2026

FoMoVLA: Bridging Visual Foresight and Motion Guidance for Vision-Language-Action Models

Wei Li, Peijin Jia, Yuan Ma +9

Vision-Language-Action (VLA) models have achieved impressive results in visuomotor policy learning, yet remain fundamentally reactive, mapping current observations and language to…

cs.CV2025

SemanticVLA: Semantic-Aligned Sparsification and Enhancement for Efficient Robotic Manipulation

Wei Li, Renshan Zhang, Rui Shao +4

Vision-Language-Action (VLA) models have advanced in robotic manipulation, yet practical deployment remains hindered by two key limitations: 1) perceptual redundancy, where irrelev…

cs.CV2025

CogVLA: Cognition-Aligned Vision-Language-Action Model via Instruction-Driven Routing & Sparsification

Wei Li, Renshan Zhang, Rui Shao +2

Recent Vision-Language-Action (VLA) models built on pre-trained Vision-Language Models (VLMs) require extensive post-training, resulting in high computational overhead that limits…

cs.CV2025

LION-FS: Fast & Slow Video-Language Thinker as Online Video Assistant

Wei Li, Bing Hu, Rui Shao +2

First-person video assistants are highly anticipated to enhance our daily lives through online video dialogue. However, existing online video assistants often sacrifice assistant e…