Explaining AI Watermarking: Logit Bias Sampling
a_karvonen · x · 2026-08-17
A user provides a concise explanation of AI watermarking: bias the logits based on the last N tokens during sampling. While this alters the sampling distribution at each position, the biases mostly cancel out in aggregate to preserve the overall output distribution.
Related event: Multiple Technical Authors Break Down How LLM Text Watermarking Works(5 posts)→
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