AI RESEARCH
WorldCup Sampling for Multi-bit LLM Watermarking
arXiv CS.CL
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ArXi:2602.01752v2 Announce Type: replace As large language models (LLMs) generate increasingly human-like text, watermarking has emerged as a promising solution for reliable attribution beyond mere detection. While multi-bit watermarking enables richer provenance encoding, existing approaches typically extend zero-bit watermarking schemes by