arXiv cs.CL· Juri Opitz, Andrianos Michail·· 9 天前AI 评分22
嵌入模型以奇特方式度量物理量
Embedding Models Measure in Peculiar Ways
AI 导读
研究考察嵌入空间是否反映质量、距离、时间和体积等物理测量，发现物理测量在嵌入空间中仅被弱建模，反而呈现相当奇特的度量模式。进一步分析表明，物理测量的嵌入表示强烈受表面字符串相似性影响，重新校准相似度也无法显著改善对齐。
正文 · 原文
Abstract:Embedding spaces define notions of semantic similarity and distance. We study whether those embeddings reflect physical measurements of mass, distance, time and volume, which admit a unique, objective notion of semantic equivalence and distance. We find that physical measurement is only weakly modeled in the embedding space, and that instead quite peculiar measurement patterns can be observed. Further analysis indicates that embedding representations of physical measurements are strongly influenced by superficial string similarity, and recalibration of similarity does not substantially improve the alignment.
| Subjects: | Computation and Language (cs.CL); Machine Learning (cs.LG) |
| Cite as: | arXiv:2609.20821 [cs.CL] |
| (or arXiv:2609.20821v2 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2609.20821 arXiv-issued DOI via DataCite |
Submission history
From: Juri Opitz [view email]
[v1]
Thu, 17 Sep 2026 17:59:54 UTC (1,235 KB)
[v2]
Thu, 8 Oct 2026 15:31:40 UTC (1,235 KB)
来源：arXiv cs.CL · arxiv.org