Papers with large-language-model–based method

1 papers
De-Anonymization at Scale via Tournament-Style Attribution (2026.acl-long)

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Challenge: Large language models (LLMs) are rapidly gaining widespread adoption in real-world use . authors propose a method for attributing authorship among tens of thousands of candidate texts .
Approach: They propose a large-language-model-based method for attributing authorship among tens of thousands of candidate texts.
Outcome: The proposed method improves accuracy and ranking precision over previous approaches.

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