1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.AI2026
LLMs for High-Frequency Decision-Making: Normalized Action Reward-Guided Consistency Policy Optimization
Yang Zhao, Zihao Li, Zhiyu Jiang +3
While Large Language Models (LLMs) form the cornerstone of sequential decision-making agent development, they have inherent limitations in high-frequency decision tasks. Existing r…
cs.RO2025
Generative AI in Embodied Systems: System-Level Analysis of Performance, Efficiency and Scalability
Zishen Wan, Jiayi Qian, Yuhang Du +6
Embodied systems, where generative autonomous agents engage with the physical world through integrated perception, cognition, action, and advanced reasoning powered by large langua…
cs.LG2024★ 1 cited
EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and Voting
Zhongzhi Yu, Zheng Wang, Yuhan Li +6
Efficient adaption of large language models (LLMs) on edge devices is essential for applications requiring continuous and privacy-preserving adaptation and inference. However, exis…