Paper Copilot: A Self-Evolving and Efficient LLM System for Personalized
  Academic Assistance
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.
66e00fc1fba5a55441e57188
Guanyu Lin
admin_assigned
2024-09-10T09:45:35.616Z
6586a7a84f9d2b955ee21b0d
/avatars/4f55c26fe62a12aab8f1413387d2e75a.svg
Guanyu Lin
user
cmulgy
66e00fc1fba5a55441e57189
Tao Feng
admin_assigned
2024-09-10T09:48:20.681Z
66269e8b3385ba4e6ed75834
/avatars/a3188fbb4526f62db92dc65ce42598bc.svg
Tao Feng
user
taofeng
66e00fc1fba5a55441e5718a
Pengrui Han
66e00fc1fba5a55441e5718b
Ge Liu
66e00fc1fba5a55441e5718c
Jiaxuan You
admin_assigned
2024-09-10T09:46:44.321Z
64db38efa21d6c044ba64f78
/avatars/e55eae7bf27af4c9c829723ac939eb56.svg
Jiaxuan
user
youjiaxuan
Paper Copilot: A Self-Evolving and Efficient LLM System for Personalized
  Academic Assistance
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.
Paper Copilot is a self-evolving LLM system that provides personalized academic support and streamlines the research process by maintaining a real-time updated database and saving researchers time.
LLM thought-retrieval user profile high performance optimization personalized research services