Gamark: adaptive entropy-threshold watermarking via gaussian mixture modeling for large language models
Existing generative watermarking methods rely on fixed or heuristic entropy thresholds in cross-task generation scenarios, leading to redundant watermark injection, detection noise, and degraded generation quality. To address these limitations, we propose GAMark, a Gaussian Mixture Model (GMM)-based semantics-aware Ada...