相关论文: Automatic Generation of Benchmarks for Plagiarism …
This article was withdrawn because (1) it was uploaded without the co-authors' knowledge or consent, and (2) there are allegations of plagiarism.
This paper has been withdrawn by the authors.
The paper has been withdrawn by the authors due to some error in the manuscript.
This paper has been withdrawn by the author, since one of the key results duplicates existing work, as pointed out by a reader. I am currently revising the manuscript.
This paper is withdrawn.
The increasing reliance on large language models (LLMs) in academic writing has led to a rise in plagiarism. Existing AI-generated text classifiers have limited accuracy and often produce false positives. We propose a novel approach using…
This paper has been withdrawn by the author for further investigation.
This paper has been withdrawn by the author due to similarity to the author's other paper
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This paper has been withdrawn by the author.
This paper has been withdrawn by the author due to incomplete interpretation for the results.
This paper has been withdrawn because the models on which it was based have undergone significant changes and improvements. A new paper with the same title, based on the improved models, is accepted for publication in MNRAS and is available…
This article was withdrawn by the arXiv.org administrators since it plagiarizes math.AT/0401211.
This paper has been withdrawn by the author: it was a too preliminary version.
Maintaining anonymity in natural language communication remains a challenging task. Even when the number of candidate authors is large, standard authorship attribution techniques that analyze writing style predict the original author with…
This paper has been withdrawn by the authors.
Semantic similarity measures are a key component in natural language processing tasks such as document analysis, requirement matching, and user input interpretation. However, the performance of individual measures varies considerably across…
This paper has been withdrawn by the author due to a crucial mistakes.
Plagiarism is an act of using someone else's work without proper acknowledgment, and this sin is seen to cut across various arenas including the academy, publishing, and other similar arenas. The traditional methods of plagiarism detection…
This paper has been withdrawn by the authors.