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University of Nevada, Reno
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Existing LLM watermarking schemes crumble when text is short, but XMark maintains high decoding accuracy and text quality even with limited tokens.
Heterogeneous federated LLM fine-tuning gets a boost from parallel one-rank adaptation, sidestepping the noise issues that plague existing LoRA-based methods.
