Related papers: Automatic Generation of Benchmarks for Plagiarism …

The task of discerning between generated and natural texts is increasingly challenging. In this context, watermarking emerges as a promising technique for ascribing generated text to a specific model. It alters the sampling generation…

We present a simple cross-lingual plagiarism detection method applicable to a large number of languages. The presented approach leverages open multilingual thesauri for candidate retrieval task and pre-trained multilingual BERT-based…

This paper has been withdrawn by the authors.

This paper has been withdrawn by the authors, since it has been merged with Part I (ID 0802.3570)

This paper has been withdrawn by the author due to a crucial sign error in equation 1

This paper has been withdrawn by the author(s), due the final version in math.QA/0604564

This paper has been withdrawn by the author(s). The material contained in the paper will be published in a subtantially reorganized form, part of it is now included in math.QA/0510174

The paper was withdrawn because of its significant overlap with a paper appeared recently.

Paraphrase plagiarism is one of the difficult challenges facing plagiarism detection systems. Paraphrasing occur when texts are lexically or syntactically altered to look different, but retain their original meaning. Most plagiarism…

The integrity and reliability of scientific literature is facing a serious threat by adversarial text generation techniques, specifically from the use of automated paraphrasing tools to mask plagiarism. These tools generate "tortured…

This paper has been withdrawn by the author due to text overlap with arXiv:1102.5004, as well as omission of proper citations to arXiv:1110.4655 and arXiv:1111.0313

This paper has been withdrawn.

Large language models (LLMs) present significant risks when used to generate non-factual content and spread disinformation at scale. Detecting such LLM-generated content is crucial, yet current detectors often struggle to generalize in…

This paper has been retracted.

This paper has been withdrawn.

This paper has been withdrawn.

This paper has been withdrawn by the author.

This paper has been withdrawn by the author.

As of recent generative adversarial networks have allowed for big leaps in the realism of generated images in diverse domains, not the least of which being handwritten text generation. The generation of realistic-looking hand-written text…

This paper has been withdrawn to address an omission. It will be resubmitted in the near future.