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From Copying to Composition: How Language Models Develop In-Context Learning

In-context learning (ICL) allows language models to adapt their behavior from instructions and demonstrations in a prompt, but accuracy alone does not reveal how contextual information controls their predictions.

By Minglai Yang, Xinyu Guo, Renxiong Wang, Sunjie Hou, Daniel Yue Zhang, Yunzhong HearXiv - cs.CL (NLP)

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Originally published by arXiv - cs.CL (NLP) on Oct 15, 2026.

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