DP fine-tuning systematically degrades LLM output length, grammatical correctness, and lexical diversity, and this degradation grows as the privacy budget shrinks.
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Differentially-private text generation degrades output language quality
DP fine-tuning systematically degrades LLM output length, grammatical correctness, and lexical diversity, and this degradation grows as the privacy budget shrinks.