3 papers
cs.RO2026
See What Matters: Differentiable Grid Sample Pruning for Generalizable Vision-Language-Action Model
Yixu Feng, Zinan Zhao, Yanxiang Ma +4
Vision-Language-Action (VLA) models have shown remarkable promise in robotics manipulation, yet their high computational cost hinders real-time deployment. Existing token pruning m…
stat.ME2026
Online LLM watermark detection via e-processes
Weijie Su, Ruodu Wang, Zinan Zhao
Watermarking for large language models (LLMs) has emerged as an effective tool for distinguishing AI-generated text from human-written content. Statistically, watermark schemes ind…
cs.RO2024
LLM-based Robot Task Planning with Exceptional Handling for General Purpose Service Robots
Ruoyu Wang, Zhipeng Yang, Zinan Zhao +3
The development of a general purpose service robot for daily life necessitates the robot's ability to deploy a myriad of fundamental behaviors judiciously. Recent advancements in t…