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Authorship Attribution
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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.
논문
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I Know Which LLM Wrote Your Code Last Summer: LLM generated Code Stylometry for Authorship Attribution
Style-based Composer Identification and Attribution of Symbolic Music Scores: a Systematic Survey
HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation
OpenTuringBench: An Open-Model-based Benchmark and Framework for Machine-Generated Text Detection and Attribution
Integrated ensemble of BERT- and features-based models for authorship attribution in Japanese literary works
Layered Insights: Generalizable Analysis of Authorial Style by Leveraging All Transformer Layers
Generative Artificial Intelligence for Academic Research: Evidence from Guidance Issued for Researchers by Higher Education Institutions in the United States
From Small to Large Language Models: Revisiting the Federalist Papers
Task-Informed Anti-Curriculum by Masking Improves Downstream Performance on Text
Detection of LLM-Generated Java Code Using Discretized Nested Bigrams
Open or Closed LLM for Lesser-Resourced Languages? Lessons from Greek
Stylomech: Unveiling Authorship via Computational Stylometry in English and Romanized Sinhala
I Can Find You in Seconds! Leveraging Large Language Models for Code Authorship Attribution
MATCHED: Multimodal Authorship-Attribution To Combat Human Trafficking in Escort-Advertisement Data
OCEAN: Open-World Contrastive Authorship Identification
Enhancing Authorship Attribution through Embedding Fusion: A Novel Approach with Masked and Encoder-Decoder Language Models
A Bayesian Approach to Harnessing the Power of LLMs in Authorship Attribution
Sui Generis: Large Language Models for Authorship Attribution and Verification in Latin
Decoding MIE: A Novel Dataset Approach Using Topic Extraction and Affiliation Parsing
Latent Space Interpretation for Stylistic Analysis and Explainable Authorship Attribution
Towards Effective Authorship Attribution: Integrating Class-Incremental Learning
Separating Style from Substance: Enhancing Cross-Genre Authorship Attribution through Data Selection and Presentation
Harvesting Textual and Structured Data from the HAL Publication Repository
Capturing Style in Author and Document Representation
Is Contrasting All You Need? Contrastive Learning for the Detection and Attribution of AI-generated Text
AuthAttLyzer-V2: Unveiling Code Authorship Attribution using Enhanced Ensemble Learning Models & Generating Benchmark Dataset
Gram2Vec: An Interpretable Document Vectorizer
Figuratively Speaking: Authorship Attribution via Multi-Task Figurative Language Modeling
On the Origin of Llamas: Model Tree Heritage Recovery
Silencing the Risk, Not the Whistle: A Semi-automated Text Sanitization Tool for Mitigating the Risk of Whistleblower Re-Identification
Can Large Language Models Identify Authorship?
Authorship Attribution in Bangla Literature (AABL) via Transfer Learning using ULMFiT
ALISON: Fast and Effective Stylometric Authorship Obfuscation
ALMs: Authorial Language Models for Authorship Attribution
AI Content Self-Detection for Transformer-based Large Language Models
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