3 papers
cs.LG2026
An AI4AI Framework for Visual Token Pruning
Zhen Liu, Wenli Huang, Wei Song +3
Visual-token pruning can substantially reduce the inference cost of multimodal large language models (MLLMs), yet existing methods largely rely on fixed, handcrafted heuristics and…
cs.CV2026
Instruction-as-State: Environment-Guided and State-Conditioned Semantic Understanding for Embodied Navigation
Zhen Liu, Yuhan Liu, Jinjun Wang +3
Vision-and-Language Navigation requires agents to follow natural-language instructions in visually changing environments. A central challenge is the dynamic entanglement between la…
cs.CV2026
HOG-Layout: Hierarchical 3D Scene Generation, Optimization and Editing via Vision-Language Models
Haiyan Jiang, Deyu Zhang, Dongdong Weng +2
3D layout generation and editing play a crucial role in Embodied AI and immersive VR interaction. However, manual creation requires tedious labor, while data-driven generation ofte…