TextSeal2 achieves distortion-free LLM watermarking that survives speculative decoding by using copula-based key merging and memoryless exponential races, detecting watermarks 8-22% more reliably than prior methods at the same false-positive rate.
TextSeal2 is a watermarking technique for large language models that embeds invisible signatures in generated text without changing output quality or speed.