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Found 5 papers, 2 papers with code
Language Evolution with Deep Learning
Computational modeling plays an essential role in the study of language emergence.
On the Correspondence between Compositionality and Imitation in Emergent Neural Communication
Compositionality is a hallmark of human language that not only enables linguistic generalization, but also potentially facilitates acquisition.
Emergent Communication: Generalization and Overfitting in Lewis Games
Lewis signaling games are a class of simple communication games for simulating the emergence of language.
``LazImpa'': Lazy and Impatient neural agents learn to communicate efficiently
Previous work has shown that artificial neural agents naturally develop surprisingly non-efficient codes.
"LazImpa": Lazy and Impatient neural agents learn to communicate efficiently
Previous work has shown that artificial neural agents naturally develop surprisingly non-efficient codes.
