3 papers
cs.RO2026
EgoLive: A Large-Scale Egocentric Dataset from Real-World Human Tasks
Yihang Li, Xuelong Wei, Jingzhou Luo +26
The advancement of robot learning is currently hindered by the scarcity of large-scale, high-quality datasets. While established data collection methods such as teleoperation and u…
cs.LG2025
Quality over Quantity: Boosting Data Efficiency Through Ensembled Multimodal Data Curation
Jinda Xu, Yuhao Song, Daming Wang +4
In an era overwhelmed by vast amounts of data, the effective curation of web-crawl datasets is essential for optimizing model performance. This paper tackles the challenges associa…
cs.CV2025
HMVLM: Multistage Reasoning-Enhanced Vision-Language Model for Long-Tailed Driving Scenarios
Daming Wang, Yuhao Song, Zijian He +4
We present HaoMo Vision-Language Model (HMVLM), an end-to-end driving framework that implements the slow branch of a cognitively inspired fast-slow architecture. A fast controller…