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PaperHub

Welcome to PaperHub! This platform is designed to assist researchers in enhancing their research papers with catchy titles and interactive features.

Overview

PaperHub enables researchers to submit their papers and receive engaging titles generated by our system using two advanced models:

  1. Abstract-Based Model: Generates titles based on the abstracts of the submitted papers.
  2. Context-Enriched Model: Incorporates various contexts, including internet search results and Retrieval-Augmented Generation (RAG) based similarity searches, to create more refined and relevant titles.

Additionally, PaperHub provides interactive features such as:

  • Internet and RAG-Based Chat Options: For real-time improvements to research content.
  • Multilingual Voice Chat: Simplifies communication, ensuring accessibility and efficiency.

Features

  • Title Generation: Utilizing the power of LLaMA-3.1, our models produce compelling and relevant titles for research papers.
  • Interactive Content Improvement: Real-time chat options based on internet searches and RAG for enhancing research content.
  • Multilingual Voice Chat: Facilitates easy and effective communication in multiple languages.

Technologies Used

  • Models: LLaMA-3.1 for title generation.
  • Frontend: Developed using Next.js.
  • Deployment: Hosted on Vercel for reliable and scalable performance.
  • Planned Enhancements: Integration of GraphRAG to further improve functionalities.

Future Plans

GraphRAG Integration: We plan to enhance our functionalities with GraphRAG to provide more sophisticated and accurate title generation and content improvement features.

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