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arXiv — cs.AI

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Recovering Temporal and Geographic Signals from Language Model Embeddings

arXiv:2609.05721v1 Announce Type: new Abstract: Understanding whether language-model embeddings encode structured real-world information is important for both representation analysis and information retrieval. We study this question for temporal and geographic signals using a…

arXiv — cs.AIBy: Esteban Feuerstein, Victoria Klimkowski, Juan Manuel Ortiz de Zarate, Federico Hern\'an SuaiterSeptember 9, 2026 (Sep 9)
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  • arXiv:2609.05721v1 Announce Type: new Abstract: Understanding whether language-model embeddings encode structured real-world information is important for both representation analysis and information retrieval
  • We study this question for temporal and geographic signals using a…
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Recovering Temporal and Geographic Signals from Language Model Embeddings

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