18 citations · 18 across the 2 of their papers we have counts for
3 papers
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.CL2021★ 18 cited
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies
Mor Geva, Daniel Khashabi, Elad Segal +3
A key limitation in current datasets for multi-hop reasoning is that the required steps for answering the question are mentioned in it explicitly. In this work, we introduce Strate…
cs.CL2019
A Simple and Effective Model for Answering Multi-span Questions
Elad Segal, Avia Efrat, Mor Shoham +2
Models for reading comprehension (RC) commonly restrict their output space to the set of all single contiguous spans from the input, in order to alleviate the learning problem and…