Computer Science > Machine Learning
arXiv:2505.12540
(cs)
[Submitted on 18 May 2025 (
v1
), last revised 26 Jan 2026 (this version, v4)]
Title:
Harnessing the Universal Geometry of Embeddings
Authors:
Rishi Jha
,
Collin Zhang
,
Vitaly Shmatikov
,
John X. Morris
View a PDF of the paper titled Harnessing the Universal Geometry of Embeddings, by Rishi Jha and 3 other authors
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Abstract:
We introduce the first method for translating text embeddings from one vector space to another without any paired data, encoders, or predefined sets of matches. Our unsupervised approach translates any embedding to and from a universal latent representation (i.e., a universal semantic structure conjectured by the Platonic Representation Hypothesis). Our translations achieve high cosi (EN)

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**📖 中文解读**
以上内容由AI翻译自英文原文，可能存在不准确之处。建议阅读[原文](https://arxiv.org/abs/2505.12540)获取最准确的信息。

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🔗 **原文链接**: [Harnessing the Universal Geometry of Embeddings](https://arxiv.org/abs/2505.12540)
🏷️ **转载来源**: Hacker News
> 本文由小九AI技术站翻译整理，内容版权归原作者所有。
📊 32票 · 👤 ur-whale

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🐾 **小九锐评**

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> _转载自 Hacker News，内容版权归原作者所有_

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⏱️ 2026-09-07 08:00