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Authorship Attribution

Authorship attribution, also known as authorship identification, aims to attribute a previously unseen text of unknown authorship to one of a set of known authors.

Papers

Showing 1120 of 212 papers

TitleStatusHype
Representation learning of writing styleCode1
Disappearing Ink: Obfuscation Breaks N-gram Code Watermarks in Theory and Practice0
I Know Which LLM Wrote Your Code Last Summer: LLM generated Code Stylometry for Authorship Attribution0
Style-based Composer Identification and Attribution of Symbolic Music Scores: a Systematic Survey0
HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation0
OpenTuringBench: An Open-Model-based Benchmark and Framework for Machine-Generated Text Detection and Attribution0
Integrated ensemble of BERT- and features-based models for authorship attribution in Japanese literary works0
Layered Insights: Generalizable Analysis of Authorial Style by Leveraging All Transformer Layers0
Generative Artificial Intelligence for Academic Research: Evidence from Guidance Issued for Researchers by Higher Education Institutions in the United States0
From Small to Large Language Models: Revisiting the Federalist PapersCode0
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