A survey of ai-generated text forensic systems: Detection, attribution, and characterization

T Kumarage, G Agrawal, P Sheth, R Moraffah… - arXiv preprint arXiv …, 2024 - arxiv.org
We have witnessed lately a rapid proliferation of advanced Large Language Models (LLMs)
capable of generating high-quality text. While these LLMs have revolutionized text …

Blurring the lines: how AI is redefining artistic ownership and copyright

C Watiktinnakorn, J Seesai, C Kerdvibulvech - Discover Artificial …, 2023 - Springer
The rapid advancement of AI technology has brought about significant changes across
various industries, including the realm of art and creative endeavors. Presently, AI …

Authorship Attribution in the Era of LLMs: Problems, Methodologies, and Challenges

B Huang, C Chen, K Shu - arXiv preprint arXiv:2408.08946, 2024 - arxiv.org
Accurate attribution of authorship is crucial for maintaining the integrity of digital content,
improving forensic investigations, and mitigating the risks of misinformation and plagiarism …

Can Authorship Attribution Models Distinguish Speakers in Speech Transcripts?

C Aggazzotti, N Andrews, EA Smith - Transactions of the Association …, 2024 - direct.mit.edu
Authorship verification is the task of determining if two distinct writing samples share the
same author and is typically concerned with the attribution of written text. In this paper, we …

A Ship of Theseus: Curious Cases of Paraphrasing in LLM-Generated Texts

NI Tripto, S Venkatraman, D Macko, R Moro… - arXiv preprint arXiv …, 2023 - arxiv.org
In the realm of text manipulation and linguistic transformation, the question of authorship has
always been a subject of fascination and philosophical inquiry. Much like the\textbf {Ship of …

SCAR: Efficient Instruction-Tuning for Large Language Models via Style Consistency-Aware Response Ranking

Z Li, Y Hua, TT Vu, H Zhan, L Qu, G Haffari - arXiv preprint arXiv …, 2024 - arxiv.org
Recent studies have shown that maintaining a consistent response style by human experts
and enhancing data quality in training sets can significantly improve the performance of fine …

[PDF][PDF] Team ap-team at PAN: LLM Adapters for Various Datasets

G Boeva, G Gritsai, A Grabovoy - 2024 - ceur-ws.org
The recent breakthrough in text generation ensures that the quality level of generation
increases with each new model. On the other hand, the task associated with the use of …

[引用][C] DiscoverArtificial Intelligence

C Watiktinnakorn, J Seesai, C Kerdvibulvech - 2023