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Analysis

This paper addresses a crucial and timely issue: the potential for copyright infringement by Large Vision-Language Models (LVLMs). It highlights the legal and ethical implications of LVLMs generating responses based on copyrighted material. The introduction of a benchmark dataset and a proposed defense framework are significant contributions to addressing this problem. The findings are important for developers and users of LVLMs.
Reference

Even state-of-the-art closed-source LVLMs exhibit significant deficiencies in recognizing and respecting the copyrighted content, even when presented with the copyright notice.