Concept Separation Curves provide a classifier-independent method to visualize and quantify how sentence embeddings distinguish conceptual meaning from syntactic variations across languages and domains.
Proceedings of the 58th annual meeting of the association for computational linguistics , pages=
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Representations learned by large AI models are converging toward a shared statistical model of reality.
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Finding Meaning in Embeddings: Concept Separation Curves
Concept Separation Curves provide a classifier-independent method to visualize and quantify how sentence embeddings distinguish conceptual meaning from syntactic variations across languages and domains.
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The Platonic Representation Hypothesis
Representations learned by large AI models are converging toward a shared statistical model of reality.