Watermarking and Attribution for LLM Content
Research on embedding identifiable markers in LLM outputs for content attribution, detection of AI-generated content, and resistance to watermarking attacks
This presentation covers 43 research papers on large language models applied to Watermarking and Attribution for LLM Content.