AI RESEARCH
XMark: Reliable Multi-Bit Watermarking for LLM-Generated Texts
arXiv CS.AI
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ArXi:2604.05242v1 Announce Type: cross Multi-bit watermarking has emerged as a promising solution for embedding imperceptible binary messages into Large Language Model (LLM)-generated text, enabling reliable attribution and tracing of malicious usage of LLMs. Despite recent progress, existing methods still face key limitations: some become computationally infeasible for large messages, while others suffer from a poor trade-off between text quality and decoding accuracy.