Robotics paper index

Embedding Models Measure in Peculiar Ways

2026-09-17 · arXiv: 2609.20821

One-line summary

A robotics research paper on Embedding Models Measure in Peculiar Ways.

Engineering notes

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Chinese explanation / 中文解读

中文解读待补充:本站会优先为 VLA、具身智能、人形机器人控制、机器人操作等高价值论文补充中文说明。

Original 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.

5.0Engineering value
7.0Research novelty
4.0Business relevance

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