作者位次 #3/4ACL 2026Findings· Findings of ACL
E ntro B ench: Evaluating LLM Watermarking Under Multi-Entropy Scenarios and Practical User Operations
Pengyuan Qin · Linnan Tu · Yuhan Ke · Hefei Ling
摘要
Large language models (LLMs) watermarking has been proposed as an active approach for content provenance verification, yet existing evaluations are largely confined to fixed entropy settings. In this paper, we introduce EntroBench, a benchmark for LLM watermarking that systematically covers three...