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A prompt's value can exponentially reduce the cost of generating complex artifacts, revealing a new dimension of efficiency in LLM interactions.
Existing LLM watermarks break down when entropy is low, but this work shows how to watermark even low-entropy outputs, opening the door to broader adoption of watermarking techniques.
