Dynamic Demonstrations Controller for In-Context Learning

In-context learning (ICL) is a new paradigm for natural language processing (NLP), where a large language model (LLM) observes a small number of demonstrations and a test instance as its input, and directly makes predictions without updating model parameters. Previous studies have revealed that ICL...

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Veröffentlicht in:	arXiv.org 2024-12
Hauptverfasser:	Zhao, Fei, Pang, Taotian, Wu, Zhen, Zheng, Ma, Huang, Shujian, Dai, Xinyu
Format:	Artikel
Sprache:	eng
Schlagworte:	Context Controllers Large language models Natural language processing Parameter sensitivity
Online-Zugang:	Volltext
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