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by wongarsu
1213 days ago
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There's a large body of research into invisible text watermarking, so this would certainly be possible. Maybe the simplest to implement in LLMs would be to bias the token generation slightly, for example by making tokens that include the letter i slightly more likely. In a long enough text you could then see the deviation from normal human text characteristics. |
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