3 papers
cs.AI2026
RoleWorld: Knowledge Transfer in World Modeling with Functional Role Abstractions
Boyuan Xiao, Pu Wang, Ji Feng +1
World models enable large language model (LLM) agents to anticipate action effects and make informed decisions. For generalization, it is desirable for such world models to transfe…
cs.CV2026
Dive into the Scene: Breaking the Perceptual Bottleneck in Vision-Language Decision Making via Focus Plan Generation
Boyuan Xiao, Bohong Chen, Yumeng Li +3
In embodied vision-language decision making tasks such as robotic manipulation and navigation, Vision-Language and Vision-Language-Action Models (VLMs & VLAs) are powerful tools wi…
cs.CV2026
Thinking with Patterns: Breaking the Perceptual Bottleneck in Visual Planning via Pattern Induction
Yichang Jian, Boyuan Xiao, Zhenyuan Huang +2
Planning from raw visual input remains a significant challenge for current Vision-Language Models (VLMs), when the complexity of input is beyond their one-step perception capabilit…