CycleResearcher contains three core components:
- CycleResearcher: Responsible for generating high-quality academic papers based on user-supplied topics and references, it supports a variety of pre-trained models (e.g., 12B, 72B, 123B), and can output a paper with a complete structure including an abstract, introduction, and references.
- CycleReviewer: Provides an automated academic review function that outputs average ratings and acceptance/rejection decisions with an accuracy of 74.241 TP3T, suitable for quickly assessing the quality of papers.
- DeepReviewer: Simulates multiple reviewers, provides three review modes: fast, standard and optimal, and supports background knowledge search and self-validation for scenarios that require in-depth analysis.
This answer comes from the articleCycleResearcher: an AI-powered automation tool for academic research and reviewing manuscriptsThe
May not be reproduced without permission:AI productivity tools " What are the core components of CycleResearcher? What are the functions of each?
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