CycleResearcher contains three core components:
- CycleResearcher: for generating high-quality academic papers, automatically generating structured content based on user-supplied topics and references, supporting multiple pre-trained models (e.g., 12B, 72B, 123B).
- CycleReviewer: Provides a detailed academic review function that outputs the average rating and acceptance/rejection decision of a paper with an accuracy of 74.241 TP3T.
- DeepReviewer: Simulates multiple reviewers for multi-perspective review, supports Fast, Standard and Best modes, and enables background knowledge search and self-validation.
Together, these three components form a closed-loop feedback system for research and review, significantly improving the efficiency of academic research.
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 three core components of CycleResearcher? What are their main functions?
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