Noga Zaslavsky
Noga Zaslavsky
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Optimal compression in human concept learning
Language use is only sparsely compositional: The case of English adjective-noun phrases in humans and large language models
Bridging semantics and pragmatics in information-theoretic emergent communication
Discreteness and systematicity emerge to facilitate communication in a continuous signal-meaning space
Artificial neural network language models predict human brain responses to language even after a developmentally realistic amount of training
Noisy Population Dynamics Lead to Efficiently Compressed Semantic Systems
Human-Guided Complexity-Controlled Abstractions
Teasing apart the representational spaces of ANN language models to discover key axes of model-to-brain alignment
Evidence for a language-independent conceptual representation of pronominal referents
Communicative need
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