Do LLMs Know to Respect Copyright Notice?
Jialiang Xu, Shenglan Li, Zhaozhuo Xu, Denghui Zhang
摘要
Prior study shows that LLMs sometimes generate content that violates copyright. In this paper, we study another important yet underexplored problem, i.e., will LLMs respect copyright information in user input, and behave accordingly? The research problem is critical, as a negative answer would imply that LLMs will become the primary facilitator and accelerator of copyright infringement behavior. We conducted a series of experiments using a diverse set of language models, user prompts, and copyrighted materials, including books, news articles, API documentation, and movie scripts. Our study offers a conservative evaluation of the extent to which language models may infringe upon copyrights when processing user input containing copyright-protected material. This research emphasizes the need for further investigation and the importance of ensuring LLMs respect copyright regulations when handling user input to prevent unauthorized use or reproduction of protected content. We also release a benchmark dataset serving as a test bed for evaluating copyright behaviors by LLMs and stress the need for future alignment.
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引用它的顶会 Paper2
- What Makes a Good Natural Language Prompt?Do Xuan Long, Duy Dinh, Ngoc-Hai Nguyen, Kenji Kawaguchi 等ACL 2025 · 被引用 13 次
- Bridging the Copyright Gap: Do Large Vision-Language Models Recognize and Respect Copyrighted Content?Naen Xu, Jinghuai Zhang, Changjiang Li, Hengyu An 等AAAI 2026 · 被引用 6 次
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