no code implementations • FNP (LREC) 2022 • Negar Foroutan, Angelika Romanou, Stéphane Massonnet, Rémi Lebret, Karl Aberer
The language models were fine-tuned on a financial document collection of three languages (English, Spanish, and Greek) and aim to identify the beginning of the summary narrative part of the document.
1 code implementation • 27 Nov 2023 • Zeming Chen, Alejandro Hernández Cano, Angelika Romanou, Antoine Bonnet, Kyle Matoba, Francesco Salvi, Matteo Pagliardini, Simin Fan, Andreas Köpf, Amirkeivan Mohtashami, Alexandre Sallinen, Alireza Sakhaeirad, Vinitra Swamy, Igor Krawczuk, Deniz Bayazit, Axel Marmet, Syrielle Montariol, Mary-Anne Hartley, Martin Jaggi, Antoine Bosselut
Large language models (LLMs) can potentially democratize access to medical knowledge.
Ranked #1 on Multiple Choice Question Answering (MCQA) on MedMCQA (Dev Set (Acc-%) metric)
1 code implementation • 7 Nov 2023 • Angelika Romanou, Syrielle Montariol, Debjit Paul, Leo Laugier, Karl Aberer, Antoine Bosselut
In this work, we present CRAB, a new Causal Reasoning Assessment Benchmark designed to evaluate causal understanding of events in real-world narratives.
no code implementations • 28 Nov 2022 • Alexander Glavackij, Dimitri Percia David, Alain Mermoud, Angelika Romanou, Karl Aberer
Our autoencoder approach improves the MAPE by 13. 5% on average over the second-best result.
1 code implementation • 16 Nov 2021 • Vinitra Swamy, Angelika Romanou, Martin Jaggi
In this paper, we compare BERT-based language models through snapshots of acquired knowledge at sequential stages of the training process.
no code implementations • 12 Apr 2021 • Angelika Romanou, Panayiotis Smeros, Karl Aberer
In this work, we present a methodology for creating scientific news article representations by modeling the directed graph between the scientific news articles and the cited scientific publications.
no code implementations • 27 Aug 2020 • Angelika Romanou, Panayiotis Smeros, Carlos Castillo, Karl Aberer
We demonstrate the SciLens News Platform, a novel system for evaluating the quality of news articles.