CycleReviewer and DeepReviewer solve the time-consuming problem of traditional manual review:
- The basic review uses CycleReviewer:
reviewer = CycleReviewer(), 74.241 TP3T review accuracy rate
review_results = reviewer.evaluate(论文内容) - Complex reviews use DeepReviewer's Standard Mode:
deep_reviewer.evaluate(论文内容, mode='Standard Mode', reviewer_num=4)Simulation of 4 reviewers' comments - Deep Analytics in Best Mode: 6 Reviewers + Background Knowledge Search + Self-Verification
Tests showed that the system reduced the time it took to process a single paper from an average of seven days to less than six hours.
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 effective ways to solve the problem of time-consuming review of academic papers?
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