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Syrielle Montariol
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2020 – today
- 2024
- [c22]Li Mi, Syrielle Montariol, Javiera Castillo Navarro, Xianjie Dai, Antoine Bosselut, Devis Tuia:
ConVQG: Contrastive Visual Question Generation with Multimodal Guidance. AAAI 2024: 4207-4215 - [c21]Karina Halevy, Anna Sotnikova, Badr AlKhamissi, Syrielle Montariol, Antoine Bosselut:
"Flex Tape Can't Fix That": Bias and Misinformation in Edited Language Models. EMNLP 2024: 8690-8707 - [c20]João Luis Prado, Syrielle Montariol, Javiera Castillo-Navarro, Devis Tuia, Antoine Bosselut:
Training Visual Language Models with Object Detection: Grounded Change Descriptions in Satellite Images. IGARSS 2024: 2745-2749 - [c19]Jibril Frej, Anna Dai, Syrielle Montariol, Antoine Bosselut, Tanja Käser:
Course Recommender Systems Need to Consider the Job Market. SIGIR 2024: 522-532 - [i17]Antoine Magron, Anna Dai, Mike Zhang, Syrielle Montariol, Antoine Bosselut:
JOBSKAPE: A Framework for Generating Synthetic Job Postings to Enhance Skill Matching. CoRR abs/2402.03242 (2024) - [i16]Khanh Cao Nguyen, Mike Zhang, Syrielle Montariol, Antoine Bosselut:
Rethinking Skill Extraction in the Job Market Domain using Large Language Models. CoRR abs/2402.03832 (2024) - [i15]Li Mi, Syrielle Montariol, Javiera Castillo-Navarro, Xianjie Dai, Antoine Bosselut, Devis Tuia:
ConVQG: Contrastive Visual Question Generation with Multimodal Guidance. CoRR abs/2402.12846 (2024) - [i14]Karina Halevy, Anna Sotnikova, Badr AlKhamissi, Syrielle Montariol, Antoine Bosselut:
"Flex Tape Can't Fix That": Bias and Misinformation in Edited Language Models. CoRR abs/2403.00180 (2024) - [i13]Li Mi, Chang Xu, Javiera Castillo-Navarro, Syrielle Montariol, Wen Yang, Antoine Bosselut, Devis Tuia:
ConGeo: Robust Cross-view Geo-localization across Ground View Variations. CoRR abs/2403.13965 (2024) - [i12]Syrielle Montariol, Matej Martinc, Andraz Pelicon, Senja Pollak, Boshko Koloski, Igor Loncarski, Aljosa Valentincic:
Multi-Task Learning for Features Extraction in Financial Annual Reports. CoRR abs/2404.05281 (2024) - [i11]Jibril Frej, Anna Dai, Syrielle Montariol, Antoine Bosselut, Tanja Käser:
Course Recommender Systems Need to Consider the Job Market. CoRR abs/2404.10876 (2024) - [i10]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:
Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants. CoRR abs/2408.11841 (2024) - 2023
- [c18]Mete Ismayilzada, Debjit Paul, Syrielle Montariol, Mor Geva, Antoine Bosselut:
CRoW: Benchmarking Commonsense Reasoning in Real-World Tasks. EMNLP 2023: 9785-9821 - [c17]Angelika Romanou, Syrielle Montariol, Debjit Paul, Léo Laugier, Karl Aberer, Antoine Bosselut:
CRAB: Assessing the Strength of Causal Relationships Between Real-world Events. EMNLP 2023: 15198-15216 - [c16]Andraz Pelicon, Syrielle Montariol, Petra Kralj Novak:
Don't Start Your Data Labeling from Scratch: OpSaLa - Optimized Data Sampling Before Labeling. IDA 2023: 353-365 - [i9]Mete Ismayilzada, Debjit Paul, Syrielle Montariol, Mor Geva, Antoine Bosselut:
CRoW: Benchmarking Commonsense Reasoning in Real-World Tasks. CoRR abs/2310.15239 (2023) - [i8]Angelika Romanou, Syrielle Montariol, Debjit Paul, Léo Laugier, Karl Aberer, Antoine Bosselut:
CRAB: Assessing the Strength of Causal Relationships Between Real-world Events. CoRR abs/2311.04284 (2023) - [i7]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:
MEDITRON-70B: Scaling Medical Pretraining for Large Language Models. CoRR abs/2311.16079 (2023) - [i6]Khai Loong Aw, Syrielle Montariol, Badr AlKhamissi, Martin Schrimpf, Antoine Bosselut:
Instruction-tuning Aligns LLMs to the Human Brain. CoRR abs/2312.00575 (2023) - 2022
- [c15]Clémentine Fourrier, Syrielle Montariol:
Caveats of Measuring Semantic Change of Cognates and Borrowings using Multilingual Word Embeddings. LChange@ACL 2022: 97-112 - [c14]Syrielle Montariol, Arij Riabi, Djamé Seddah:
Multilingual Auxiliary Tasks Training: Bridging the Gap between Languages for Zero-Shot Transfer of Hate Speech Detection Models. AACL/IJCNLP (Findings) 2022: 347-363 - [c13]Matej Martinc, Syrielle Montariol, Lidia Pivovarova, Elaine Zosa:
Effectiveness of Data Augmentation and Pretraining for Improving Neural Headline Generation in Low-Resource Settings. LREC 2022: 3561-3570 - [c12]Syrielle Montariol, Matej Martinc, Andraz Pelicon, Senja Pollak, Boshko Koloski, Igor Loncarski, Aljosa Valentincic, Katarina Sitar Sustar, Riste Ichev, Martin Znidarsic:
Multi-task Learning for Features Extraction in Financial Annual Reports. PKDD/ECML Workshops (2) 2022: 7-24 - [c11]Arij Riabi, Syrielle Montariol, Djamé Seddah:
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). TALN-RECITAL 2022: 413-423 - [e2]Nina Tahmasebi, Syrielle Montariol, Andrey Kutuzov, Simon Hengchen, Haim Dubossarsky, Lars Borin:
Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change, LChange@ACL 2022, Dublin, Ireland, May 26-27, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-42-1 [contents] - [i5]Syrielle Montariol, Arij Riabi, Djamé Seddah:
Multilingual Auxiliary Tasks Training: Bridging the Gap between Languages for Zero-Shot Transfer of Hate Speech Detection Models. CoRR abs/2210.13029 (2022) - 2021
- [b1]Syrielle Montariol:
Models of diachronic semantic change using word embeddings. (Modèles diachroniques à base de plongements de mot pour l'analyse du changement sémantique). University of Paris-Saclay, France, 2021 - [c10]Syrielle Montariol, Alexandre Allauzen:
Measure and Evaluation of Semantic Divergence across Two Languages. ACL/IJCNLP (1) 2021: 1247-1258 - [c9]Syrielle Montariol, Alexandre Allauzen, Antoine Doucet:
État de l'art du changement sémantique à partir de plongements contextualisés. CORIA 2021 - [c8]Syrielle Montariol, Matej Martinc, Lidia Pivovarova:
Scalable and Interpretable Semantic Change Detection. NAACL-HLT 2021: 4642-4652 - [c7]Syrielle Montariol, Alexandre Allauzen:
Transport Optimal pour le Changement Sémantique à partir de Plongements Contextualisés (Optimal Transport for Semantic Change Detection using Contextualised Embeddings ). TALN (1) 2021: 81-90 - [e1]Nina Tahmasebi, Adam Jatowt, Yang Xu, Simon Hengchen, Syrielle Montariol, Haim Dubossarsky:
Proceedings of The 2nd International Workshop on Computational Approaches to Historical Language Change 2021, LChange@ACL-IJCNLP 2021, Online, August 6, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-60-2 [contents] - 2020
- [c6]Matej Martinc, Syrielle Montariol, Elaine Zosa, Lidia Pivovarova:
Discovery Team at SemEval-2020 Task 1: Context-sensitive Embeddings Not Always Better than Static for Semantic Change Detection. SemEval@COLING 2020: 67-73 - [c5]Syrielle Montariol, Alexandre Allauzen:
Étude des variations sémantiques à travers plusieurs dimensions (Studying semantic variations through several dimensions ). JEP-TALN-RECITAL (2) 2020: 314-322 - [c4]Matej Martinc, Syrielle Montariol, Elaine Zosa, Lidia Pivovarova:
Capturing Evolution in Word Usage: Just Add More Clusters? WWW (Companion Volume) 2020: 343-349 - [i4]Matej Martinc, Syrielle Montariol, Elaine Zosa, Lidia Pivovarova:
Capturing Evolution in Word Usage: Just Add More Clusters? CoRR abs/2001.06629 (2020)
2010 – 2019
- 2019
- [c3]Syrielle Montariol, Alexandre Allauzen:
Empirical Study of Diachronic Word Embeddings for Scarce Data. RANLP 2019: 795-803 - [c2]Syrielle Montariol, Alexandre Allauzen:
Apprentissage de plongements de mots dynamiques avec régularisation de la dérive (Learning dynamic word embeddings with drift regularisation). PFIA (Articles longs) 2019: 13-26 - [c1]Syrielle Montariol, Aina Garí Soler, Alexandre Allauzen:
Exploring sentence informativeness. PFIA (Articles courts) 2019: 303-312 - [i3]Syrielle Montariol, Aina Garí Soler, Alexandre Allauzen:
Exploring sentence informativeness. CoRR abs/1907.08469 (2019) - [i2]Syrielle Montariol, Alexandre Allauzen:
Learning dynamic word embeddings with drift regularisation. CoRR abs/1907.09169 (2019) - [i1]Syrielle Montariol, Alexandre Allauzen:
Empirical Study of Diachronic Word Embeddings for Scarce Data. CoRR abs/1909.01863 (2019)
Coauthor Index
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last updated on 2024-11-15 19:33 CET by the dblp team
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