#embedding geometry

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4 papers match

cs.CL2026

Relation Geometry in Semantic Space of Language Models

Zhihan Cao, Hiroaki Yamada, Simone Teufel +4

The paper investigates how different semantic relations are reflected in the geometric structure of word embedding spaces produced by various language models, examining region clus…

#semantic relations#embedding geometry#language model analysis#relation properties
cs.LG2026

The Hyperspherical Geometry of CLIP Latent Space: A Semantic Mixture Model

Zijie Yu, Gaowen Liu, Ramana Rao Kompella +2

The paper introduces a probabilistic model for CLIP embeddings using mixtures of von Mises-Fisher distributions on the unit hypersphere, improving density estimation and detection…

#contrastive learning#embedding geometry#probabilistic modeling#out-of-distribution detection
cs.LG2026

Contrastive-Collapsed Loss for Flexible and Geometrically Optimal Embeddings and Faster Convergence

Blanca Cano-Camarero, Ángela Fernández-Pascual, José R. Dorronsoro

The paper proposes CoCo, a contrastive-collapsed loss that encourages intra‑class collapse and inter‑class contrast to produce normalized, geometrically optimal embeddings with lar…

#representation learning#loss functions#embedding geometry#tabular classification
cs.IR2026

From Embedding Geometry to Spectral Search: Energy Dispersion Networks For Vector Retrieval

Lorenzo Moriondo, Ilias Azizi

The paper proposes Graph Wiring, a framework that leverages spectral structure of embedding spaces for vector retrieval, and introduces Spectral Indexing, which combines geometric…

#vector search#spectral methods#embedding geometry#graph-based indexing