90 citations · 427 across the 29 of their papers we have counts for
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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.LG2022★ 64 cited
Diagonal State Spaces are as Effective as Structured State Spaces
Ankit Gupta, Albert Gu, Jonathan Berant
Modeling long range dependencies in sequential data is a fundamental step towards attaining human-level performance in many modalities such as text, vision, audio and video. While…
cs.CL2022★ 7 cited
CommonsenseQA 2.0: Exposing the Limits of AI through Gamification
Alon Talmor, Ori Yoran, Ronan Le Bras +4
Constructing benchmarks that test the abilities of modern natural language understanding models is difficult - pre-trained language models exploit artifacts in benchmarks to achiev…