PAPERGEN
AI Research Paper Generator with IEEE Format Export
Autonomously generates properly structured IEEE technical research papers from a user-specified topic. Synthesizes relevant literature by querying the Semantic Scholar API, builds a local Retrieval-Augmented Generation (RAG) context, and directs a local LLaMA 3.1 model via prompt chaining to sequentially draft methodology, related work, and technical analyses. Automatically builds and formats comparison charts, diagrams, and section tables via Matplotlib, exporting publication-ready DOCX and PDF manuscripts.
Key Contributions
- ✦Designed a 4-tier Cascading RAG pipeline ingesting real academic paper abstracts to ground generation.
- ✦Implemented sequential prompt-chaining to maintain technical coherence across complex document segments.
- ✦Built an automated compilation engine formatting output to exact IEEE conference typographic guidelines.
Primary Stack
- Ollama
- LLaMA 3.1
- Semantic Scholar RAG
- Python Flask
- Matplotlib
- python-docx