English(EN) ICLR position paper criticized for lacking experiments and making speculative claims — how to respond? [D]

ICLR 论文引发关于实验要求的辩论

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-07 01:36

提交给国际学习表征会议 (ICLR) 的一篇立场论文因缺乏实验和经验验证而受到审稿人的批评。该论文的作者为其方法进行了辩护，表示立场论文不需要包含已实现的系统或广泛的结果，并且他们的工作提供了技术论证和可证伪的假设。作者正在寻求建议，如何回应审稿人而不显得过于好斗。 AI

影响凸显了关于人工智能学术研究标准和期望的持续讨论。

排序理由该集群讨论了围绕学术会议立场论文要求的辩论，属于对研究实践的评论。

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: Commentary; 该集群讨论了围绕学术会议立场论文要求的辩论，属于对研究实践的评论。
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, opinion; 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。

r/MachineLearning TIER_1 English(EN) · /u/Entity303BR · 2026-11-07 01:36

ICLR 论文因缺乏实验和推测性声明而受到批评——如何回应？[D]

<div class="md"><p>One reviewer criticizes it for lacking an implemented system, empirical validation, results and for making speculative arguments. But its a position/argumentative paper, it doesnt have to have any of those. We provide technical arguments, falsifi…