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%252C+concerns+about+potential+misuse+have+emerged.+To+this+end%252C+watermarking+has+been+adapted+to+LLM%252C+enabling+a+simple+and+effective+way+to+detect+and+monitor+generated+text.+However%252C+while+the+existing+methods+can+differentiate+between+watermarked+and+unwatermarked+text+with+high+accuracy%252C+they+often+face+a+trade-off+between+the+quality+of+the+generated+text+and+the+effectiveness+of+the+watermarking+process.+In+this+work%252C+we+present+a+novel+type+of+LLM+watermark%252C+Sparse+Watermark%252C+which+aims+to+mitigate+this+trade-off+by+applying+watermarks+to+a+small+subset+of+generated+tokens+distributed+across+the+text.+The+key+strategy+involves+anchoring+watermarked+tokens+to+words+that+have+specific+Part-of-Speech+(POS)+tags.+Our+experimental+results+demonstrate+that+the+proposed+watermarking+scheme+achieves+high+detectability+while+generating+text+that+outperforms+previous+LLM+watermarking+methods+in+quality+across+various+tasks&cdnurl=https%3a%2f%2fth.bing.com%2fth%2fid%2fR.9c2ee1c327fc8c176e6951d901dec3fd%3frik%3dTxRdlzaQQ9ZmSg%26pid%3dImgRaw%26r%3d0&exph=630&expw=1200&q=Sparse+LLMs&FORM=IRPRST&ck=02334F8E3A90CEC14FD5F6E8567FB6FD&selectedIndex=2&itb=0)
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