4 citations · 8 across the 3 of their papers we have counts for
3 papers
Do Vision-and-Language Transformers Learn Grounded Predicate-Noun Dependencies?
Mitja Nikolaus, Emmanuelle Salin, Stephane Ayache +2
Recent advances in vision-and-language modeling have seen the development of Transformer architectures that achieve remarkable performance on multimodal reasoning tasks. Yet, the e…
Zero-Shot and Few-Shot Classification of Biomedical Articles in Context of the COVID-19 Pandemic
Simon Lupart, Benoit Favre, Vassilina Nikoulina +1
MeSH (Medical Subject Headings) is a large thesaurus created by the National Library of Medicine and used for fine-grained indexing of publications in the biomedical domain. In the…
Robust Semantic Parsing with Adversarial Learning for Domain Generalization
Gabriel Marzinotto, Geraldine Damnati, Frédéric Béchet +1
This paper addresses the issue of generalization for Semantic Parsing in an adversarial framework. Building models that are more robust to inter-document variability is crucial for…