survey-generation

You can automate literature review generation by providing a topic and a collected paper list to generate a structured survey outline, draft RAG-based subsections with inline citations, and output BibTeX-ready references. This process reduces manual outlining and drafting effort while improving structure and citation quality.

RAG-based subsection writing retrieves relevant content from your collected paper list to generate manuscript sections with inline citations. It ensures all cited papers originate from the provided list and applies local coherence enhancement to improve transitions and flow across subsections.

Yes, you can validate citations and generate BibTeX entries automatically. The survey generation process includes citation validation to ensure referenced papers match your collected list, and it emits BibTeX-ready references for all cited works in the final manuscript delivery.

The best way to structure a comprehensive survey outline is using multi-LLM parallel outline generation. This approach runs multiple language models simultaneously to produce a robust, comprehensive survey framework before applying RAG-based writing to draft the manuscript sections.

Yes, auto-outline survey generation works without external dependencies. The process operates independently to run multi-LLM parallel outlines, apply citation validation, and enhance local coherence, requiring only a provided topic and your collected paper list to start drafting.