Search Results for author:
Found 3 papers, 1 papers with code
Emergent communication and learning pressures in language models: a language evolution perspective
Based on a short literature review, we identify key pressures that have recovered initially absent human patterns in emergent communication models: communicative success, efficiency, learnability, and other psycho-/sociolinguistic factors.
What Makes a Language Easy to Deep-Learn?
Deep neural networks drive the success of natural language processing.
Emergent Communication for Understanding Human Language Evolution: What's Missing?
Emergent communication protocols among humans and artificial neural network agents do not yet share the same properties and show some critical mismatches in results.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
