AI RESEARCH
SSG: Logit-Balanced Vocabulary Partitioning for LLM Watermarking
arXiv CS.AI
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ArXi:2604.22438v1 Announce Type: cross Watermarking has emerged as a promising technique for tracing the authorship of content generated by large language models (LLMs). Among existing approaches, the KGW scheme is particularly attractive due to its versatility, efficiency, and effectiveness in natural language generation. However, KGW's effectiveness degrades significantly under low-entropy settings such as code generation and mathematical reasoning.