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Feb, 2024
GNNavi: 通过图神经网络导航大型语言模型的信息流
GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network
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Shuzhou Yuan, Ercong Nie, Michael Färber, Helmut Schmid, Hinrich Schütze
TL;DR
通过引入基于图神经网络的 GNNavi 方法,我们在少样本学习中实现了信息流的增强和清晰的聚合过程,其在性能和效率上超越了现有的 PEFT 方法。
Abstract
large language models
(LLMs) exhibit strong
in-context learning
(ICL) capabilities when prompts with demonstrations are applied to them. However,
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