在国际学习表征会议（ICLR）上，研究人员正在讨论反驳策略。一位用户在收到四位审稿人中的一位的负面评价后，正在寻求关于是否反驳论文的建议，而其他人则在分享他们处理反驳过程的经验，包括修改论文和处理审稿人反馈。 AI
影响 研究人员正在分享应对人工智能论文同行评审过程的策略。
排序理由 该集群讨论了提交给研究会议的学术论文的反驳过程。
AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
ICLR 2027：研究人员正在应对论文反驳流程
本文如何被排名
- Signal score
- 1 / 100
- Composite score across the factors below. Higher = stronger signal that this story matters right now.
- Newsworthiness bucket
- Research
- 该集群讨论了提交给研究会议的学术论文的反驳过程。
- Source corroboration
- 2 independent sources
- Multiple independent publishers reporting the same story raises confidence that it's real and newsworthy.
- Topics
- paper
- 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
- Same-day
- Cluster formed today. Ranking reflects the current source set at time of score.
完整方法见我们的编辑标准。
报道来源 [2]
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3321 ICLR，我应该反驳吗？[R]
<!-- SC_OFF --><div class="md"><p>Looks like this killer just doesn’t understand my paper. He said my abstract is not well organized, hard to follow...my definitions are also hard to follow..., missing important explaination... etc.</p> <p>but the other three reviewers could read…
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ICLR 2027 反驳回应 [D]
<!-- SC_OFF --><div class="md"><p>I got 3/3/2 and working on rebuttal (hope it make it avg to 3). Did you guys posted your response? And did you revised the paper as well? or made promise to revise on camera-ready version?</p> <p>I am almost finished making draft and keep revisin…