WaterMoE: A Low-Overhead Watermarking Method for Mixture-of-Experts LLMs

Large language models (LLMs) have achieved remarkable success but raise growing concerns about content provenance and misuse, motivating the need for reliable watermarking techniques. However, these techniques have rarely been adopted in practice mainly f