1 citations · 1 across the 4 of their papers we have counts for
4 papers
GeoWAM: Visual Geometry World Action Models for Autonomous Driving
Yiren Lu, Xin Ye, Jiaming Liu +10
World action models (WAMs) have recently gained increasing attention as a framework for jointly modeling scene evolution and ego actions in autonomous driving. Most existing WAMs l…
DragonCrawl: A Generative, Intent-Based Framework for Scalable Mobile End-to-End Testing
Sowjanya Puligadda, Mengdie Zhang, Ali Zamani +3
As mobile applications grow in complexity, traditional End-to-End (E2E) testing frameworks struggle with UI volatility, maintenance overhead, and cross-platform scalability. This p…
VLGA: Vision-Language-Geometry-Action Models for Autonomous Driving
Jin Yao, Dhruva Dixith Kurra, Tom Lampo +3
Vision-language-action (VLA) models can describe scenes and reason about them in language, yet still struggle to ground their actions in the dense 3D world around them. Existing ap…
Handling Large-scale Cardinality in building recommendation systems
Dhruva Dixith Kurra, Bo Ling, Chun Zh +1
Effective recommendation systems rely on capturing user preferences, often requiring incorporating numerous features such as universally unique identifiers (UUIDs) of entities. How…