Related papers: Automatic Generation of Benchmarks for Plagiarism …

This paper has been withdrawn by the author(s) in the light of several other works available and due to a misunderstanding in the authorships.

This paper has been withdrawn because of the requirement from the journal where the modified version of the paper is to be published.

This paper has been withdrawn by the author, due to errors in the figures.

Plagiarism of material from the Internet is a widespread and growing problem. Several methods used to detect the plagiarism and similarity between the source document and suspected documents such as fingerprint based on character or n-gram.…

This paper has been withdrawn by the author(s), due to the existence of a much better paper in http://arxiv.org/abs/cs.CR/0207027

Although the results are correct, it was pointed out that the results follow from some previously known results. Accordingly, this version of the paper is withdrawn by the authors.

With the rise of advanced natural language models like GPT, distinguishing between human-written and GPT-generated text has become increasingly challenging and crucial across various domains, including academia. The long-standing issue of…

This paper has been withdrawn by the author due to serious flaws in certain proofs. For instance, the method used to construct certain automorphic representations is flawed.

This paper has been withdrawn by the author. It will be replaced, substantially modified, by sections of the author's completed PhD thesis.

This paper has been withdrawn by the authors, due the copyright policy of the journal it has been submited to.

This paper has been withdrawn by the author due a few mistakes in the paper.

The paper has been withdrawn due to an error in Lemma 1.

The recent large-scale emergence of LLMs has left an open space for dealing with their consequences, such as plagiarism or the spread of false information on the Internet. Coupling this with the rise of AI detector bypassing tools, reliable…

The paper is withdrawn.

The paper is withdrawn by the authors and replaced be an improved and extended version arxiv: 0812.2968

The recent success of large language models for text generation poses a severe threat to academic integrity, as plagiarists can generate realistic paraphrases indistinguishable from original work. However, the role of large autoregressive…

This paper has been withdrawn due to an error, and no further revisions will be made.

This paper has been withdrawn by the authors since it was discovered that most of its content was already known.

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 complete their assignments and exams, while educators struggle to…

This paper is withdrawn because the results in the paper are included in a paper to be published in Mathematical and Computer Modelling.