7 citations · 7 across the 4 of their papers we have counts for
7 papers
Co-Linguistics: AI-augmented Theory Construction in Linguistics
Emmanuel Chemla, Benjamin Spector, Alexandros Kalomoiros +1
LLMs have been studied in recent linguistics as potential models of humans' linguistic abilities. Here we discuss an entirely different use of AI, namely as a co-scientist, to help…
On three-valued presentations of classical logic
Bruno da Ré, Damian Szmuc, Emmanuel Chemla +1
Given a three-valued definition of validity, which choice of three-valued truth tables for the connectives can ensure that the resulting logic coincides exactly with classical logi…
Benchmarking Neural Network Generalization for Grammar Induction
Nur Lan, Emmanuel Chemla, Roni Katzir
How well do neural networks generalize? Even for grammar induction tasks, where the target generalization is fully known, previous works have left the question open, testing very l…
Minimum Description Length Recurrent Neural Networks
Nur Lan, Michal Geyer, Emmanuel Chemla +1
We train neural networks to optimize a Minimum Description Length score, i.e., to balance between the complexity of the network and its accuracy at a task. We show that networks op…
On the Spontaneous Emergence of Discrete and Compositional Signals
Nur Geffen Lan, Emmanuel Chemla, Shane Steinert-Threlkeld
We propose a general framework to study language emergence through signaling games with neural agents. Using a continuous latent space, we are able to (i) train using backpropagati…
From Many-Valued Consequence to Many-Valued Connectives
Emmanuel Chemla, Paul Egré
Given a consequence relation in many-valued logic, what connectives can be defined? For instance, does there always exist a conditional operator internalizing the consequence relat…
Suszko's Problem: Mixed Consequence and Compositionality
Emmanuel Chemla, Paul Egré
Suszko's problem is the problem of finding the minimal number of truth values needed to semantically characterize a syntactic consequence relation. Suszko proved that every Tarskia…