PaperGen

PaperGen is an artificial intelligence platform designed to assist researchers, students, and academics in generating, structuring, and refining academic papers and research documents. The tool leverages large language models to produce coherent, citation-supported text across a wide range of disciplines, including natural sciences, social sciences, engineering, and humanities. Users begin by inputting a topic, research question, or abstract, and the system generates a full draft that includes an introduction, literature review, methodology, results, discussion, and conclusion sections. The platform also offers a paragraph-level rewriting feature that rephrases content while preserving technical accuracy and academic tone. For literature review composition, PaperGen can synthesize multiple sources into a structured summary, automatically extracting key findings and theoretical frameworks. The system supports citation formatting in APA, MLA, Chicago, and IEEE styles, and it can generate in-text citations and reference lists based on user-provided sources or its own knowledge base. A built-in citation validator checks the accuracy of references against common databases. The platform includes a plagiarism detection module that compares generated text against a large corpus of published papers and highlights potential overlaps. Users can adjust the writing style from formal to slightly conversational depending on the target journal or conference requirements. PaperGen also provides an abstract generator that condenses a full paper into a concise summary of 150–300 words, suitable for submission requirements. For multilingual researchers, the platform supports generating and translating text in English, Chinese, Spanish, German, French, and Japanese, while maintaining academ