Sui Generis: Large Language Models for Authorship Attribution and Verification in Latin

arXiv:2410.09245 · cs.CL · Submitted 2024-10-11 · Read on arXiv

cs.CL

Submitted: 2024-10-11

Updated: 2024-10-11

Comments: 9 pages, NLP4DH 2024

Journal ref: Proceedings of the 4th International Conference on Natural Language Processing for Digital Humanities 2024

DOI: 10.18653/v1/2024.nlp4dh-1.39

Code: https://github.com/glsch/sui_generis

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Verification — 46× in this paper · explained in 2 episodes
• Accuracy — 8× in this paper · explained in 1 episode
• Transformer — 6× in this paper · explained in 2 episodes
• Semantic Similarity — 5× in this paper · explained in 2 episodes
• Cosine Similarity — 4× in this paper · explained in 3 episodes
• Fine-Tuning — 4× in this paper · explained in 5 episodes
• Embeddings — 3× in this paper · explained in 2 episodes
• Feature Engineering — 3× in this paper · explained in 3 episodes
• Steering — 3× in this paper · explained in 2 episodes
• Support Vector Machines — 3× in this paper
• Benchmark — 2× in this paper · explained in 2 episodes
• Contrastive Learning — 2× in this paper · explained in 5 episodes
• Explainability — 2× in this paper · explained in 3 episodes
• F1 Score — 2× in this paper · explained in 3 episodes
• Generative AI — 2× in this paper · explained in 2 episodes
• Interpretability — 2× in this paper · explained in 15 episodes
• Adaptability — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Clustering — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Homogeneity — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Low-Resource Languages — 1× in this paper · explained in 4 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Transformer Models — 1× in this paper · explained in 2 episodes

Sources

• GPT-4 Technical Report
• Can Large Language Models Identify Authorship?
• PART: Pre-trained Authorship Representation Transformer
• A Comprehensive Overview of Large Language Models
• Learning Interpretable Style Embeddings via Prompting LLMs
• CAVE: Controllable Authorship Verification Explanations

Related papers

• Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving
• Ishigaki-IDS-Bench: A Benchmark for Generating Information Delivery Specification from BIM Information Requirements
• Subliminal Steering: Stronger Encoding of Hidden Signals
• MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports
• The End of Transformers? On Challenging Attention and the Rise of Sub-Quadratic Architectures
• Untangling the Mechanisms of Misleading Context in Medical Question Answering