3 papers
cs.RO2026
Learning to Assist: Collaborative VLAs for Implicit Human-Robot Collaboration
Leo Xu, Letian Li, Alex Cuellar +1
Human-robot collaboration (HRC) combines the complementary strengths of humans and robots to improve task efficiency. However, many existing collaborative systems rely on hand-engi…
cs.DC2024
BlockLLM: Multi-tenant Finer-grained Serving for Large Language Models
Bodun Hu, Jiamin Li, Le Xu +5
The increasing demand for Large Language Models (LLMs) across various applications has led to a significant shift in the design of deep learning serving systems. Deploying LLMs, pa…
cs.LG2023
MOSEL: Inference Serving Using Dynamic Modality Selection
Bodun Hu, Le Xu, Jeongyoon Moon +2
Rapid advancements over the years have helped machine learning models reach previously hard-to-achieve goals, sometimes even exceeding human capabilities. However, to attain the de…