no code implementations • 15 Sep 2023 • Raphael Reinauer, Patrick Simianer, Kaden Uhlig, Johannes E. M. Mosig, Joern Wuebker
The emergent ability of Large Language Models to use a small number of examples to learn to perform in novel domains and tasks, also called in-context learning (ICL).
no code implementations • 3 Mar 2023 • Vahid Shamsaddini, Henry Kirveslahti, Raphael Reinauer, Wallyson Lemes de Oliveira, Matteo Caorsi, Etienne Voutaz
The goal of this project is to create and study novel techniques to identify early warning signals for socially disruptive events, like riots, wars, or revolutions using only publicly available data on social media.
no code implementations • 30 Jun 2022 • Ilan Perez, Raphael Reinauer
To the best of our knowledge, this work is the first to confront topological-based models with adversarial attacks in the context of NLP.
1 code implementation • 30 Dec 2021 • Raphael Reinauer, Matteo Caorsi, Nicolas Berkouk
In this article, we introduce $\texttt{Persformer}$, the first Transformer neural network architecture that accepts persistence diagrams as input.