Project Details

When we study some papers, reference papers play a very important role. To analyze this more efficiently, we use LLM to classify reference papers and recommend papers.

• Goals

  1. Paper data set composition and pre-processing development

  2. Text (i.e., paper) classification by fine tuning BERT

  3. Recommendation and analysis of recent search-based papers

• Technologies

  FrontEnd - React, Figma

  BackEnd - Spring, SpringBoot3, SQL

  A.I. - PyTorch, Scikit-Learn, transformers

• Team

  [A.I.] ByungHyun Kim, [BE] JooEun Oh, SeonJu Kim, [FE] HeeJeong Ahn

[Github Organization]