BiMarker splits generated text into alternating positive and negative poles and uses the difference in green-token counts to detect LLM watermarks more accurately than KGW.
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BiMarker: Enhancing Text Watermark Detection for Large Language Models with Bipolar Watermarks
BiMarker splits generated text into alternating positive and negative poles and uses the difference in green-token counts to detect LLM watermarks more accurately than KGW.