Plagiarism Detection

Plagiarism detection research aims to identify instances of unauthorized text reuse, a challenge amplified by the rise of sophisticated large language models (LLMs). Current efforts focus on developing robust methods that go beyond simple string matching, employing techniques like knowledge graph comparison, BERT-based embeddings, and LSTM networks to detect paraphrasing and other forms of obfuscation, even across languages. These advancements are crucial for maintaining academic integrity, protecting intellectual property, and ensuring the trustworthiness of research outputs in various fields.