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Survey on ai-generated plagiarism detection: The impact of large language models on academic integrity
S Pudasaini, L Miralles-Pechuán, D Lillis… - Journal of Academic …, 2024 - Springer
A survey conducted in 2023 surveyed 3,017 high school and college students. It found that
almost one-third of them confessed to using ChatGPT for assistance with their homework …
almost one-third of them confessed to using ChatGPT for assistance with their homework …
Adaptive text watermark for large language models
The advancement of Large Language Models (LLMs) has led to increasing concerns about
the misuse of AI-generated text, and watermarking for LLM-generated text has emerged as a …
the misuse of AI-generated text, and watermarking for LLM-generated text has emerged as a …
Survey on plagiarism detection in large language models: The impact of chatgpt and gemini on academic integrity
S Pudasaini, L Miralles-Pechuán, D Lillis… - arxiv preprint arxiv …, 2024 - arxiv.org
The rise of Large Language Models (LLMs) such as ChatGPT and Gemini has posed new
challenges for the academic community. With the help of these models, students can easily …
challenges for the academic community. With the help of these models, students can easily …
Watermarking techniques for large language models: A survey
Y Liang, J **ao, W Gan, PS Yu - arxiv preprint arxiv:2409.00089, 2024 - arxiv.org
With the rapid advancement and extensive application of artificial intelligence technology,
large language models (LLMs) are extensively used to enhance production, creativity …
large language models (LLMs) are extensively used to enhance production, creativity …
Watermarking Large Language Models and the Generated Content: Opportunities and Challenges
R Zhang, F Koushanfar - arxiv preprint arxiv:2410.19096, 2024 - arxiv.org
The widely adopted and powerful generative large language models (LLMs) have raised
concerns about intellectual property rights violations and the spread of machine-generated …
concerns about intellectual property rights violations and the spread of machine-generated …
Watermarking language models with error correcting codes
P Chao, Y Sun, E Dobriban, H Hassani - arxiv preprint arxiv:2406.10281, 2024 - arxiv.org
Recent progress in large language models enables the creation of realistic machine-
generated content. Watermarking is a promising approach to distinguish machine-generated …
generated content. Watermarking is a promising approach to distinguish machine-generated …
SoK: Watermarking for AI-Generated Content
As the outputs of generative AI (GenAI) techniques improve in quality, it becomes
increasingly challenging to distinguish them from human-created content. Watermarking …
increasingly challenging to distinguish them from human-created content. Watermarking …
De-mark: Watermark Removal in Large Language Models
Watermarking techniques offer a promising way to identify machine-generated content via
embedding covert information into the contents generated from language models (LMs) …
embedding covert information into the contents generated from language models (LMs) …
Intellectual Property Protection for Deep Learning Model and Dataset Intelligence
With the growing applications of Deep Learning (DL), especially recent spectacular
achievements of Large Language Models (LLMs) such as ChatGPT and LLaMA, the …
achievements of Large Language Models (LLMs) such as ChatGPT and LLaMA, the …
A Watermark for Order-Agnostic Language Models
Statistical watermarking techniques are well-established for sequentially decoded language
models (LMs). However, these techniques cannot be directly applied to order-agnostic LMs …
models (LMs). However, these techniques cannot be directly applied to order-agnostic LMs …