Papers with information-theoretic means
Semantic Geometry of Sentence Embeddings (2025.findings-emnlp)
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| Challenge: | Sentence embeddings are central to natural language processing, but their internal features are not interpretable and users lack fine-grained control for downstream tasks. |
| Approach: | They propose a formal framework to characterize the organization of features in sentence embeddings . they show how they can be composed to capture richer semantic structures . |
| Outcome: | The proposed method can be used to capture richer semantic structures. |