Watermarking LLM-Generated Text Quiz

Answers and explanations appear as you take the quiz.

1. How does the soft green-list watermark in the cited scheme influence token generation?
   • By requiring a visible watermark sentence in every output
   • By encrypting every word into unreadable bytes
   • By adding a preference bias to green-token logits
   • By guaranteeing that every generated token belongs to the green list
2. What must match when applying a detector for a keyed green-token watermark?
   • The full original training dataset in every case
   • Physical access to the generation GPU
   • Every prompt the provider has ever received
   • The candidate text, scheme settings, tokenization and relevant key
3. Why can a longer eligible passage provide more evidence for a statistical text watermark?
   • A law requires every long passage to be flagged
   • More scored tokens can make a persistent signal easier to distinguish from null variation
   • Every longer passage must have better factual accuracy
   • All short texts are necessarily unwatermarked
4. Which published text watermark uses tournament sampling and is documented for Gemini text?
   • SynthID-Text
   • A standard PDF font renderer
   • The TCP packet checksum
   • An ordinary dictionary spell checker
5. What is a known way to weaken or remove a text watermark?
   • Reading it aloud
   • Saving it as a PDF
   • Printing it in a different color
   • Heavy paraphrasing or translation
6. What input helps reproduce green-list selection in the original context-dependent scheme?
   • A required live clock reading
   • The relevant preceding token context under the scheme’s seeding rule
   • Only the author’s IP address
   • Only the displayed font color
7. Using z=(G−gamma×T)/sqrt(T×gamma×(1−gamma)), what is z for T=100, gamma=0.5 and G=60?
   • 2
   • 1
   • 5
   • 10
8. Why does failing to detect one particular watermark not establish that a passage is human-written?
   • All machine-generated text must contain that exact keyed signature
   • Every negative score proves human authorship mathematically
   • Machine-generated text may not carry the tested watermark or matching configuration
   • The detector has necessarily recovered the original prompt