LookStep is proposed, a unified end-to-end framework that combines Language Centric Future State Modeling and Event Driven Rolling Memory that uses language labels to generate coarse-grained navigation progress and future states for each candidate action, while autonomously deciding whether to write each observation in...
Kun-Yang Yu, Ying-Zhe Li, Hongyu Xu et al.· 2 citations
Vision-Language Navigation (VLN) requires an embodied agent to follow natural-language instructions in unseen environments. Recent progress has been largely driven by Multimodal Large Language Models (MLLMs). Existing methods follow a next-step action prediction paradigm, supervising only the expert action, which requi...
Kun-Yang Yu, Ying-Zhe Li, Hongming Xu et al.· 0 citations
Experiments show that NeSy-Spatial consistently improves reasoning accuracy with more precise tool utilization, and is proposed as a neuro-symbolic framework for self-evolving spatial skills.
S. Tian, Zhuoxi Wang, Xuan Zhu et al.· 2 citations
It is found that OPD transfers a teacher's reasoning behavior rather than its answers to particular problems: training difficulty barely matters, and even problems the teacher never solves are useful.
Zhaoyi Li, Deyang Kong, Yuan Wei et al.· 1 citation
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
