English(EN) In 2017, the team who submitted the Transformer architecture was hoping for "hundreds of citations"

Transformer架构的影响：从数百次引用到工业革命催化剂

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-01 20:31

Transformer架构于2017年推出，其影响力远超创作者的预期，已获得超过281,000次引用。根据Aidan Gomez的说法，这项开创性工作现已被公认为当前工业革命时代的决定性催化剂。 AI

影响 Transformer架构仍然是现代AI的基石，支撑着大多数大型语言模型，并影响着未来的研究方向。

排序理由该集群讨论了一篇基础研究论文及其影响，符合研究类别。[lever_c_demoted from research: ic=1 ai=1.0]

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: 17 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该集群讨论了一篇基础研究论文及其影响，符合研究类别。[lever_c_demoted from research: ic=1 ai=1.0]
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。

X — Cohere TIER_1 English(EN) · cohere · 2026-09-01 20:31

2017年，提交Transformer架构的团队希望获得“数百次引用”

In 2017, the team who submitted the Transformer architecture was hoping for "hundreds of citations" 281,654 citations later, people are pointing to that paper as the catalyst for the next era of an industrial revolution. In @aidangomez's words, it was a 'productive 4 months': h…