Italiano(IT) NeurIPS 2026 post-rebuttal score distribution poll [D]

NeurIPS 2026 论文反驳后评分讨论 · 跟踪 2 个来源

作者 PulseAugur 编辑部 · [2 个来源] · 2026-08-04 18:05

研究人员正在讨论提交给 NeurIPS 2026 的论文的评分分布，特别是在反驳期之后。其中一篇帖子专门关注理论论文，指出人们认为这些论文通常得分较低，并且今年的评分可能普遍低于各个学科。另一篇帖子发起了一项民意调查，以收集有关反驳后评分分布的数据，尽管该调查后来受到了恶意评论的影响。 AI

影响为人工智能学术研究的评估和接受趋势提供了见解。

排序理由该集群讨论了主要学术会议的评分分布和论文质量的看法。

AI 生成摘要 · Google Gemini · 来自 2 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: Research; 该集群讨论了主要学术会议的评分分布和论文质量的看法。
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: 37 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。

r/MachineLearning TIER_1 English(EN) · /u/Mammoth-Leg-3844 · 2026-08-05 04:36

NeurIPS 2026 主赛道 — 论文答辩后理论论文评分追踪 [D]

<div class="md"> Now that the rebuttal period is over, I’m curious about the score distribution specifically for theory papers this year. If you’re comfortable sharing, please drop: • Scores: x / x / x • Confidence: x / x / x<…
r/MachineLearning TIER_1 Italiano(IT) · /u/Zhiend727 · 2026-08-04 18:05

NeurIPS 2026 论文回复后评分分布投票 [D]

<div class="md">As the title suggests, because there's no data on Papercopilot yet, and people have been talking about the scores being lower in general than last year, I thought it could be interesting to survey the average score distribution after the rebuttal…