Reddit 的 r/MachineLearning 版块上一位用户正在就 EMNLP 2026 投稿的“meta score”2.5 寻求建议，他将其描述为临界分数。他询问以往是否有过此类分数被接受的情况，并对此表示担忧，因为 meta 审稿人没有回应他报告的关于可能存在错误审稿的问题。 AI
排序理由 这是 Reddit 上关于特定会议投稿分数的用户提问，并非正式公告或重要的行业事件。
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Meta 审稿人就 EMNLP 2026 投稿发出提示性问题
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
- Meme
- 这是 Reddit 上关于特定会议投稿分数的用户提问，并非正式公告或重要的行业事件。
- 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
- 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
- Low
- Off-topic or adjacent — cluster remains reachable but doesn't surface in AI-industry rankings.
- Story freshness
- 73 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]
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Meta 荣获 EMNLP 2026 [D]
<!-- SC_OFF --><div class="md"><p>Any one got meta score 2.5 (borderline finding) and still accepted to findings previously?? In my case meta review didnot acknowledge the reporting against a wrong review</p> </div><!-- SC_ON -->   submitted by   <a href="https://www.redd…