2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.RO2024
Hierarchical Large Language Models in Cloud Edge End Architecture for Heterogeneous Robot Cluster Control
Zhirong Luan, Yujun Lai, Rundong Huang +4
Despite their powerful semantic understanding and code generation capabilities, Large Language Models (LLMs) still face challenges when dealing with complex tasks. Multi agent stra…
cs.RO2024
Automatic Robotic Development through Collaborative Framework by Large Language Models
Zhirong Luan, Yujun Lai, Rundong Huang +3
Despite the remarkable code generation abilities of large language models LLMs, they still face challenges in complex task handling. Robot development, a highly intricate field, in…
cs.CV2024★ 2 cited
Prompt-based Distribution Alignment for Unsupervised Domain Adaptation
Shuanghao Bai, Min Zhang, Wanqi Zhou +4
Recently, despite the unprecedented success of large pre-trained visual-language models (VLMs) on a wide range of downstream tasks, the real-world unsupervised domain adaptation (U…