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20242026
most citedEDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and Voting

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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…