90 citations · 289 across the 20 of their papers we have counts for
Showing 2022Show all
3 papers · 1 filter
cs.CL2022★ 4 cited
Diverse Demonstrations Improve In-context Compositional Generalization
Itay Levy, Ben Bogin, Jonathan Berant
In-context learning has shown great success in i.i.d semantic parsing splits, where the training and test sets are drawn from the same distribution. In this setup, models are typic…
cs.CL2022
Training Vision-Language Models with Less Bimodal Supervision
Elad Segal, Ben Bogin, Jonathan Berant
Standard practice in pretraining multimodal models, such as vision-language models, is to rely on pairs of aligned inputs from both modalities, for example, aligned image-text pair…
cs.CL2022★ 2 cited
Unobserved Local Structures Make Compositional Generalization Hard
Ben Bogin, Shivanshu Gupta, Jonathan Berant
While recent work has convincingly showed that sequence-to-sequence models struggle to generalize to new compositions (termed compositional generalization), little is known on what…