一位 Reddit r/MachineLearning 版块的用户在 NeurIPS 投稿获得低分后，正在寻求关于在哪里发表研究的建议。他们正在权衡是在机器学习研究汇刊 (TMLR) 发表还是在计算语言学协会 (ACL) 会议上作为研究发现发表。该用户对社区关于哪个平台对其论文列表更有益的意见感兴趣。 AI
排序理由 用户生成的关于发表地点的讨论。
AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →
研究人员就 TMLR 与 ACL 论文发表问题展开辩论
本文如何被排名
- Signal score
- 2 / 100
- Composite score across the factors below. Higher = stronger signal that this story matters right now.
- Newsworthiness bucket
- Commentary
- 用户生成的关于发表地点的讨论。
- 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
- 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
- Breaking (< 6h)
- Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.
完整方法见我们的编辑标准。
报道来源 [1]
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