6 citations · 13 across the 13 of their papers we have counts for
3 papers · 1 filter
Learning Compositional Negation in Populations of Roth-Erev and Neural Agents
Graham Todd, Shane Steinert-Threlkeld, Christopher Potts
Agent-based models and signalling games are useful tools with which to study the emergence of linguistic communication in a tractable setting. These techniques have been used to st…
Linguistically-Informed Transformations (LIT): A Method for Automatically Generating Contrast Sets
Chuanrong Li, Lin Shengshuo, Leo Z. Liu +3
Although large-scale pretrained language models, such as BERT and RoBERTa, have achieved superhuman performance on in-distribution test sets, their performance suffers on out-of-di…
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…