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cs.LG2024
MoDeGPT: Modular Decomposition for Large Language Model Compression
Chi-Heng Lin, Shangqian Gao, James Seale Smith +5
Large Language Models (LLMs) have reshaped the landscape of artificial intelligence by demonstrating exceptional performance across various tasks. However, substantial computationa…
cs.LG2018★ 1 cited
A New Concept of Deep Reinforcement Learning based Augmented General Sequence Tagging System
Yu Wang, Abhishek Patel, Hongxia Jin
In this paper, a new deep reinforcement learning based augmented general sequence tagging system is proposed. The new system contains two parts: a deep neural network (DNN) based s…