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Terence Tao uses AI to speed up paper revisions after reviewer feedback

Terence Tao, a renowned mathematician, is collaborating on a research paper that has undergone multiple rounds of peer review. Initially, Tao manually addressed the reviewers' extensive feedback. However, for the second round of revisions, which focused on minor issues like typos and LaTeX formatting, Tao experimented with using AI tools to process the feedback and the source files. AI

Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →

IMPACT Demonstrates potential for AI to streamline the academic publishing process by assisting with revisions.

RANK_REASON The cluster describes a mathematician using AI tools to assist with the revision process for a research paper, which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]

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  1. 量子位 (QbitAI) TIER_1 中文(ZH) · 鹭羽 ·

    15分钟CC全搞定

    回到这篇论文本身,其实在 第一次 收到审稿人反馈时,陶哲轩还在老老实实人工肝。 审稿人先是给了一份极为详细的审稿报告,其中包含大大小小各种建议,并零散分布在不同章节中。 于是陶哲轩拉上论文合作者,根据章节分布,各自负责一部分的论文修改,然后再借助GitHub合并所有修改项。 好在团队分工明确,几天时间就修改完成。 结果昨天,审稿人又 “死亡催更”第二轮回复 :基本满意,但……还有十几个小毛病。 而这些大多都还是错别字或LaTeX标签问题,问题倒不大,但不改不让发。 隔以前,陶哲轩可能就一个个对照着自己改了,但这次,他试着将反馈报告、LaTeX源文件和论文