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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

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Showing 1–25 of 212 papers

TitleStatusHype
Disappearing Ink: Obfuscation Breaks N-gram Code Watermarks in Theory and Practice—0
I Know Which LLM Wrote Your Code Last Summer: LLM generated Code Stylometry for Authorship Attribution—0
Style-based Composer Identification and Attribution of Symbolic Music Scores: a Systematic Survey—0
HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation—0
OpenTuringBench: An Open-Model-based Benchmark and Framework for Machine-Generated Text Detection and Attribution—0
Integrated ensemble of BERT- and features-based models for authorship attribution in Japanese literary works—0
Layered Insights: Generalizable Analysis of Authorial Style by Leveraging All Transformer Layers—0
Generative Artificial Intelligence for Academic Research: Evidence from Guidance Issued for Researchers by Higher Education Institutions in the United States—0
From Small to Large Language Models: Revisiting the Federalist PapersCode0
Task-Informed Anti-Curriculum by Masking Improves Downstream Performance on TextCode0
Detection of LLM-Generated Java Code Using Discretized Nested Bigrams—0
Open or Closed LLM for Lesser-Resourced Languages? Lessons from GreekCode0
Stylomech: Unveiling Authorship via Computational Stylometry in English and Romanized Sinhala—0
I Can Find You in Seconds! Leveraging Large Language Models for Code Authorship Attribution—0
MATCHED: Multimodal Authorship-Attribution To Combat Human Trafficking in Escort-Advertisement DataCode0
OCEAN: Open-World Contrastive Authorship IdentificationCode0
Enhancing Authorship Attribution through Embedding Fusion: A Novel Approach with Masked and Encoder-Decoder Language Models—0
A Bayesian Approach to Harnessing the Power of LLMs in Authorship Attribution—0
Sui Generis: Large Language Models for Authorship Attribution and Verification in Latin—0
Decoding MIE: A Novel Dataset Approach Using Topic Extraction and Affiliation ParsingCode0
Latent Space Interpretation for Stylistic Analysis and Explainable Authorship Attribution—0
Towards Effective Authorship Attribution: Integrating Class-Incremental LearningCode0
Separating Style from Substance: Enhancing Cross-Genre Authorship Attribution through Data Selection and Presentation—0
Harvesting Textual and Structured Data from the HAL Publication Repository—0
Capturing Style in Author and Document Representation—0
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