Syrielle Montariol

According to our database, Syrielle Montariol authored at least 33 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

PICLe: Pseudo-Annotations for In-Context Learning in Low-Resource Named Entity Detection.

Sepideh Mamooler, Syrielle Montariol, Alexander Mathis, Antoine Bosselut

CoRR, 2024

INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge.

Angelika Romanou, Negar Foroutan, Anna Sotnikova, Zeming Chen, Sree Harsha Nelaturu, Shivalika Singh, Rishabh Maheshwary, Micol Altomare, Mohamed A. Haggag, Snegha A, Alfonso Amayuelas, Azril Hafizi Amirudin, Viraat Aryabumi, Danylo Boiko, Michael Chang, Jenny Chim, Gal Cohen, Aditya Kumar Dalmia, Abraham Diress, Sharad Duwal, Daniil Dzenhaliou, Daniel Fernando Erazo Florez, Fabian Farestam, Joseph Marvin Imperial, Shayekh Bin Islam, Perttu Isotalo, Maral Jabbarishiviari, Börje F. Karlsson, Eldar Khalilov, Christopher Klamm, Fajri Koto, Dominik Krzeminski, Gabriel Adriano de Melo, Syrielle Montariol, Yiyang Nan, Joel Niklaus, Jekaterina Novikova, Johan Samir Obando Ceron, Debjit Paul, Esther Ploeger, Jebish Purbey, Swati Rajwal, Selvan Sunitha Ravi, Sara Rydell, Roshan Santhosh, Drishti Sharma, Marjana Prifti Skenduli, Arshia Soltani Moakhar, Bardia Soltani Moakhar, Ran Tamir, Ayush Kumar Tarun, Azmine Toushik Wasi, Thenuka Ovin Weerasinghe, Serhan Yilmaz, Mike Zhang, Imanol Schlag, Marzieh Fadaee, Sara Hooker, Antoine Bosselut

CoRR, 2024

Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants.

Beatriz Borges, Negar Foroutan, Deniz Bayazit, Anna Sotnikova, Syrielle Montariol, Tanya Nazaretzky, Mohammadreza Banaei, Alireza Sakhaeirad, Philippe Servant, Seyed Parsa Neshaei, Jibril Frej, Angelika Romanou, Gail Weiss, Sepideh Mamooler, Zeming Chen, Simin Fan, Silin Gao, Mete Ismayilzada, Debjit Paul, Alexandre Schöpfer, Andrej Janchevski, Anja Tiede, Clarence Linden, Emanuele Troiani, Francesco Salvi, Freya Behrens, Giacomo Orsi, Giovanni Piccioli, Hadrien Sevel, Louis Coulon, Manuela Pineros-Rodriguez, Marin Bonnassies, Pierre Hellich, Puck van Gerwen, Sankalp Gambhir, Solal Pirelli, Thomas Blanchard, Timothée Callens, Toni Abi Aoun, Yannick Calvino Alonso, Yuri Cho, Alberto Silvio Chiappa, Antonio Sclocchi, Étienne Bruno, Florian Hofhammer, Gabriel Pescia, Geovani Rizk, Leello Dadi, Lucas Stoffl, Manoel Horta Ribeiro, Matthieu Bovel, Yueyang Pan, Aleksandra Radenovic, Alexandre Alahi, Alexander Mathis, Anne-Florence Bitbol, Boi Faltings, Cécile Hébert, Devis Tuia, François Maréchal, George Candea, Giuseppe Carleo, Jean-Cédric Chappelier, Nicolas Flammarion, Jean-Marie Fürbringer, Jean-Philippe Pellet, Karl Aberer, Lenka Zdeborová, Marcel Salathé, Martin Jaggi, Martin Rajman, Mathias Payer, Matthieu Wyart, Michael Gastpar, Michele Ceriotti, Ola Svensson, Olivier Lévêque, Paolo Ienne, Rachid Guerraoui, Robert West, Sanidhya Kashyap, Valerio Piazza, Viesturs Simanis, Viktor Kuncak, Volkan Cevher, Philippe Schwaller, Sacha Friedli, Patrick Jermann, Tanja Käser, Antoine Bosselut

CoRR, 2024

Multi-Task Learning for Features Extraction in Financial Annual Reports.

Syrielle Montariol, Matej Martinc, Andraz Pelicon, Senja Pollak, Boshko Koloski, Igor Loncarski, Aljosa Valentincic

CoRR, 2024

Rethinking Skill Extraction in the Job Market Domain using Large Language Models.

Khanh Cao Nguyen, Mike Zhang, Syrielle Montariol, Antoine Bosselut

CoRR, 2024

JOBSKAPE: A Framework for Generating Synthetic Job Postings to Enhance Skill Matching.

Antoine Magron, Anna Dai, Mike Zhang, Syrielle Montariol, Antoine Bosselut

CoRR, 2024

Course Recommender Systems Need to Consider the Job Market.

Jibril Frej, Anna Dai, Syrielle Montariol, Antoine Bosselut, Tanja Käser

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Training Visual Language Models with Object Detection: Grounded Change Descriptions in Satellite Images.

João Luis Prado, Syrielle Montariol, Javiera Castillo-Navarro, Devis Tuia, Antoine Bosselut

Proceedings of the IGARSS 2024, 2024

"Flex Tape Can't Fix That": Bias and Misinformation in Edited Language Models.

Karina Halevy, Anna Sotnikova, Badr AlKhamissi, Syrielle Montariol, Antoine Bosselut

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

ConGeo: Robust Cross-View Geo-Localization Across Ground View Variations.

Li Mi, Chang Xu, Javiera Castillo-Navarro, Syrielle Montariol, Wen Yang, Antoine Bosselut, Devis Tuia

Proceedings of the Computer Vision - ECCV 2024, 2024

ConVQG: Contrastive Visual Question Generation with Multimodal Guidance.

Li Mi, Syrielle Montariol, Javiera Castillo Navarro, Xianjie Dai, Antoine Bosselut, Devis Tuia

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Instruction-tuning Aligns LLMs to the Human Brain.

Khai Loong Aw, Syrielle Montariol, Badr AlKhamissi, Martin Schrimpf, Antoine Bosselut

CoRR, 2023

MEDITRON-70B: Scaling Medical Pretraining for Large Language Models.

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

CoRR, 2023

Don't Start Your Data Labeling from Scratch: OpSaLa - Optimized Data Sampling Before Labeling.

Andraz Pelicon, Syrielle Montariol, Petra Kralj Novak

Proceedings of the Advances in Intelligent Data Analysis XXI, 2023

CRAB: Assessing the Strength of Causal Relationships Between Real-world Events.

Angelika Romanou, Syrielle Montariol, Debjit Paul, Léo Laugier, Karl Aberer, Antoine Bosselut

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

CRoW: Benchmarking Commonsense Reasoning in Real-World Tasks.

Mete Ismayilzada, Debjit Paul, Syrielle Montariol, Mor Geva, Antoine Bosselut

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Tâches Auxiliaires Multilingues pour le Transfert de Modèles de Détection de Discours Haineux (Multilingual Auxiliary Tasks for Zero-Shot Cross-Lingual Transfer of Hate Speech Detection).

Arij Riabi, Syrielle Montariol, Djamé Seddah

Proceedings of the Actes de la 29e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale, 2022

Multi-task Learning for Features Extraction in Financial Annual Reports.

Syrielle Montariol, Matej Martinc, Andraz Pelicon, Senja Pollak, Boshko Koloski, Igor Loncarski, Aljosa Valentincic, Katarina Sitar Sustar, Riste Ichev, Martin Znidarsic

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

Effectiveness of Data Augmentation and Pretraining for Improving Neural Headline Generation in Low-Resource Settings.

Matej Martinc, Syrielle Montariol, Lidia Pivovarova, Elaine Zosa

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Multilingual Auxiliary Tasks Training: Bridging the Gap between Languages for Zero-Shot Transfer of Hate Speech Detection Models.

Syrielle Montariol, Arij Riabi, Djamé Seddah

Proceedings of the Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, 2022

Caveats of Measuring Semantic Change of Cognates and Borrowings using Multilingual Word Embeddings.

Clémentine Fourrier, Syrielle Montariol

Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change, 2022

2021

Models of diachronic semantic change using word embeddings. (Modèles diachroniques à base de plongements de mot pour l'analyse du changement sémantique).

Syrielle Montariol

PhD thesis, 2021

Transport Optimal pour le Changement Sémantique à partir de Plongements Contextualisés (Optimal Transport for Semantic Change Detection using Contextualised Embeddings ).

Syrielle Montariol, Alexandre Allauzen

Proceedings of the Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale, 2021

Scalable and Interpretable Semantic Change Detection.

Syrielle Montariol, Matej Martinc, Lidia Pivovarova

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

État de l'art du changement sémantique à partir de plongements contextualisés.

Syrielle Montariol, Alexandre Allauzen, Antoine Doucet

Proceedings of the COnférence en Recherche d'Informations et Applications, 2021

Measure and Evaluation of Semantic Divergence across Two Languages.

Syrielle Montariol, Alexandre Allauzen

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Capturing Evolution in Word Usage: Just Add More Clusters?

Matej Martinc, Syrielle Montariol, Elaine Zosa, Lidia Pivovarova

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Étude des variations sémantiques à travers plusieurs dimensions (Studying semantic variations through several dimensions ).

Syrielle Montariol, Alexandre Allauzen

Proceedings of the Actes de la 6e conférence conjointe Journées d'Études sur la Parole (JEP, 2020

Discovery Team at SemEval-2020 Task 1: Context-sensitive Embeddings Not Always Better than Static for Semantic Change Detection.

Matej Martinc, Syrielle Montariol, Elaine Zosa, Lidia Pivovarova

Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

2019

Learning dynamic word embeddings with drift regularisation.

Syrielle Montariol, Alexandre Allauzen

CoRR, 2019

Exploring sentence informativeness.

Syrielle Montariol, Aina Garí Soler, Alexandre Allauzen

Proceedings of the Actes de la Conférence sur le Traitement Automatique des Langues Naturelles (TALN) PFIA 2019. Volume II : Articles courts, 2019

Apprentissage de plongements de mots dynamiques avec régularisation de la dérive (Learning dynamic word embeddings with drift regularisation).

Syrielle Montariol, Alexandre Allauzen

Proceedings of the Actes de la Conférence sur le Traitement Automatique des Langues Naturelles (TALN) PFIA 2019. Volume I : Articles longs, 2019

Empirical Study of Diachronic Word Embeddings for Scarce Data.

Syrielle Montariol, Alexandre Allauzen

Proceedings of the International Conference on Recent Advances in Natural Language Processing, 2019