Cloze Encounters: The Impact of Pirated Data Access on LLM Performance
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下载链接：
https://www.nber.org/papers/w33598
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资源简介：
Large Language Models (LLMs) have demonstrated remarkable capabilities in text generation, but their performance may be influenced by the datasets on which they are trained, including potentially unauthorized or pirated content. We investigate the extent to which data access through pirated books
提供机构：
美国国家经济研究局
创建时间：
2025-03-01
