Paper Copilot: A Self-Evolving and Efficient LLM System for Personalized
  Academic Assistance
Authors: name: Guanyu Lin; name: Tao Feng; name: Pengrui Han; name: Ge Liu; name: Jiaxuan You
Published: 2024-09-06 20:04:04

Abstract: As scientific research proliferates, researchers face the daunting task of
navigating and reading vast amounts of literature. Existing solutions, such as
document QA, fail to provide personalized and up-to-date information
efficiently. We present Paper Copilot, a self-evolving, efficient LLM system
designed to assist researchers, based on thought-retrieval, user profile and
high performance optimization. Specifically, Paper Copilot can offer
personalized research services, maintaining a real-time updated database.
Quantitative evaluation demonstrates that Paper Copilot saves 69.92\% of time
after efficient deployment. This paper details the design and implementation of
Paper Copilot, highlighting its contributions to personalized academic support
and its potential to streamline the research process.