mlsanityData to 7 Oct 2026

Paper Copilot: A Self-Evolving and Efficient LLM System for Personalized Academic Assistance

arXiv 2409.04593 ↗First posted 6 Sep 2024cs.CLcited by 8

On the map: Synthetic data and self-improvement for LLMs → Self-evolving search agents

Abstract (arXiv)

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.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Placed in Self-evolving search agents, one of 13 directions in Synthetic data and self-improvement for LLMs. Builds on 9 of its 16 references that are in the map. First posted on arXiv 6 Sep 2024.

Builds on

9 of 16 references.

References · 9

  1. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,160
  2. 2021Unsupervised Dense Information Retrieval with Contrastive Learningcited by 1,203
  3. 2023REPLUG: Retrieval-Augmented Black-Box Language Modelscited by 786
  4. 2023In-Context Retrieval-Augmented Language Modelscited by 694
  5. 2023Walking Down the Memory Maze: Beyond Context Limit through Interactive Readingcited by 129
  6. 2018Construction of the Literature Graph in Semantic Scholarcited by 118
  7. 2023How to Train Your DRAGON: Diverse Augmentation Towards Generalizable Dense Retrievalcited by 116
  8. 2020Augmenting Scientific Papers with Just-in-Time, Position-Sensitive Definitions of Terms and Symbolscited by 36
  9. 2022Scim: Intelligent Skimming Support for Scientific Paperscited by 27

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 2; 2025: 3; 2026: 3.

8 papers.

  1. 2024ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discoverycited by 208
  2. 2025A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligencecited by 155
  3. 2025A Survey on Personalized Alignment -- The Missing Piece for Large Language Models in Real-World Applicationscited by 40
  4. 2024AI PERSONA: Towards Life-long Personalization of LLMscited by 30
  5. 2026Large Language Model Reasoning Failurescited by 20
  6. 2026Steer2Adapt: Dynamically Composing Steering Vectors Elicits Efficient Adaptation of LLMscited by 7
  7. 2026Language Models Don't Know What You Want: Evaluating Personalization in Deep Research Needs Real Userscited by 2
  8. 2025ResearchArcade: Graph Interface for Academic Taskscited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2025PaperHelper: Knowledge-Based LLM QA Paper Reading Assistant
  2. 2025InteractiveSurvey: An LLM-based Personalized and Interactive Survey Paper Generation System
  3. 2026AnalyticsGPT: An LLM Workflow for Scientometric Question Answering
  4. 2026PaperRouter-Agent: A Content-Grounded LLM Agent for Personalized Hierarchical Paper Routing
  5. 2026PARNESS: A Paper Harness for End-to-End Automated Scientific Research with Dynamic Workflows, Full-Text Indexing, and Cross-Run Knowledge Accumulation
  6. 2025Navigating Through Paper Flood: Advancing LLM-based Paper Evaluation through Domain-Aware Retrieval and Latent Reasoning
  7. 2025FutureGen: A RAG-based Approach to Generate the Future Work of Scientific Article
  8. 2025Paper2Web: Let's Make Your Paper Alive!