English(EN) For the people who got reviews back from neurips, cvpr, eccv, etc and also tested their paper through an agentic reviewer like the stanford one, how different were the reviews? [D]

AI 对比人类审稿人：比较顶级 AI 会议论文的反馈

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-14 12:26

研究人员正在调查提交给主要会议的学术论文的人工评审和人工智能评审之间的差异。Reddit 的 r/MachineLearning 版块上的一场讨论探讨了斯坦福大学等机构开发的代理审稿人，与 NeurIPS、CVPR 和 ECCV 等会议的传统人工同行评审相比，它们有何不同。目的是了解反馈的差异并可能改进评审流程。 AI

影响调查 AI 审稿人的表现可能有助于更高效、更一致的学术论文评估。

排序理由该集群讨论了学术会议的 AI 驱动评审流程与传统人工同行评审的比较，这属于研究方法论。 [lever_c_demoted from research: ic=1 ai=1.0]

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AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该集群讨论了学术会议的 AI 驱动评审流程与传统人工同行评审的比较，这属于研究方法论。 [lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: paper, other; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: 55 days old; Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

报道来源 [1]

r/MachineLearning TIER_1 English(EN) · /u/obliviousphoenix2003 · 2026-08-14 12:26

对于那些收到了 neurips、cvpr、eccv 等会议的审稿意见，并且还通过了斯坦福等机构的代理审稿人测试了论文的人来说，审稿意见有何不同？[D]

<div class="md"><p>Hello,</p> <p>I was curious about the differences you can get from the human reviewers and the llms.</p> <p>Any insight is welcome, thank you!</p> </div>   submitted by   <a href="https://www.reddit.com/user/obliviousphoenix…

本文如何被排名

报道来源 [1]

对于那些收到了 neurips、cvpr、eccv 等会议的审稿意见，并且还通过了斯坦福等机构的代理审稿人测试了论文的人来说，审稿意见有何不同？[D]

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