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TextSeal2: Distortion-Free LLM Watermarking with Copula Mixing and Memoryless Races

Paper recorded by Signals 4 on 2026-10-29 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-29 on arXiv · recorded by Signals 4 on 2026-10-30

Category: cs.AI · 人工智能 · first seen 2026-10-30

Abstract

We present TextSeal2, a distortion-free watermark for large language models that keeps its signal under speculative decoding: tokens that replace rejected drafts remain watermarked with the same keys, and the acceptance rate is unchanged. It also preserves output diversity and adds no measurable inference latency. Its predecessor, TextSeal, restores diversity in the Gumbel-max scheme by routing ea

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#66 most recent of 920 cs.AI papers we have recorded · ↑ newer: Probing Spatial State Representations in Visual Foundation Models · ↓ older: When to Assist and What to Suggest: Joint Gating and Memory-Grounded H
Cite this page: TextSeal2: Distortion-Free LLM Watermarking with Copula Mixing and Memoryless Races: the #66 most recent of 920 cs.AI papers we have recorded (as of 2026-10-29). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/textseal2-distortion-free-llm-watermarking-with-copula-mixing-and-memoryless-rac.html
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