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Attribution Quality in AI-Generated Content:Benchmarking Style Embeddings and LLM Judges

Abbas, Misam
arXiv (All) · Papers
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computation-and-language
Attributing authorship in the era of large language models (LLMs) is increasingly challenging as machine-generated prose rivals human writing. We benchmark two complementary attribution mechanisms , fixed Style Embeddings and an instruction-tuned LLM judge (GPT-4o) on the Human AI Parallel Corpus, a
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