Empirical Study of Diachronic Word Embeddings for Scarce Data. - Syrielle Montariol; Alexandre Allauzen (RANLP, 2019)

Apprentissage de plongements de mots dynamiques avec régularisation de la dérive (Learning dynamic word embeddings with drift regularisation). - Syrielle Montariol; Alexandre Allauzen (PFIA (Articles longs), 2019)

Exploring sentence informativeness. - Syrielle Montariol; Aina Garí Soler; Alexandre Allauzen (PFIA (Articles courts), 2019)

Learning dynamic word embeddings with drift regularisation. - Syrielle Montariol; Alexandre Allauzen (CoRR, 2019)

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 (SemEval@COLING, 2020)

Étude des variations sémantiques à travers plusieurs dimensions (Studying semantic variations through several dimensions ). - Syrielle Montariol; Alexandre Allauzen (JEP-TALN-RECITAL (2), 2020)

Capturing Evolution in Word Usage: Just Add More Clusters? - Matej Martinc; Syrielle Montariol; Elaine Zosa; Lidia Pivovarova (WWW (Companion Volume), 2020)

Measure and Evaluation of Semantic Divergence across Two Languages. - Syrielle Montariol; Alexandre Allauzen (ACL/IJCNLP (1), 2021)

État de l'art du changement sémantique à partir de plongements contextualisés. - Syrielle Montariol; Alexandre Allauzen; Antoine Doucet (CORIA, 2021)

Scalable and Interpretable Semantic Change Detection. - Syrielle Montariol; Matej Martinc; Lidia Pivovarova (NAACL-HLT, 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 (TALN (1), 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 (2021)

Caveats of Measuring Semantic Change of Cognates and Borrowings using Multilingual Word Embeddings. - Clémentine Fourrier; Syrielle Montariol (LChange@ACL, 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 (AACL/IJCNLP (Findings), 2022)

Effectiveness of Data Augmentation and Pretraining for Improving Neural Headline Generation in Low-Resource Settings. - Matej Martinc; Syrielle Montariol; Lidia Pivovarova; Elaine Zosa (LREC, 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 (PKDD/ECML Workshops (2), 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 (TALN-RECITAL, 2022)

CRoW: Benchmarking Commonsense Reasoning in Real-World Tasks. - Mete Ismayilzada; Debjit Paul; Syrielle Montariol; Mor Geva; Antoine Bosselut (EMNLP, 2023)

CRAB: Assessing the Strength of Causal Relationships Between Real-world Events. - Angelika Romanou; Syrielle Montariol; Debjit Paul; Léo Laugier; Karl Aberer; Antoine Bosselut (EMNLP, 2023)

Don't Start Your Data Labeling from Scratch: OpSaLa - Optimized Data Sampling Before Labeling. - Andraz Pelicon; Syrielle Montariol; Petra Kralj Novak (IDA, 2023)

MEDITRON-70B: Scaling Medical Pretraining for Large Language Models. - Zeming Chen 001; Alejandro Hernández-Cano; Angelika Romanou; Antoine Bonnet; Kyle Matoba; Francesco Salvi; Matteo Pagliardini; Simin Fan; Andreas Köpf; Amirkeivan Mohtashami; Alexandre Sallinen; Alireza Sakhaeirad; et al. (CoRR, 2023)

Instruction-tuning Aligns LLMs to the Human Brain. - Khai Loong Aw; Syrielle Montariol; Badr AlKhamissi; Martin Schrimpf; Antoine Bosselut (CoRR, 2023)

ConVQG: Contrastive Visual Question Generation with Multimodal Guidance. - Li Mi; Syrielle Montariol; Javiera Castillo Navarro; Xianjie Dai; Antoine Bosselut; Devis Tuia (AAAI, 2024)

ConGeo: Robust Cross-View Geo-Localization Across Ground View Variations. - Li Mi; Chang Xu; Javiera Castillo-Navarro; Syrielle Montariol; Wen Yang 001; Antoine Bosselut; Devis Tuia (ECCV (14), 2024)

"Flex Tape Can't Fix That": Bias and Misinformation in Edited Language Models. - Karina Halevy; Anna Sotnikova; Badr AlKhamissi; Syrielle Montariol; Antoine Bosselut (EMNLP, 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 (IGARSS, 2024)

Course Recommender Systems Need to Consider the Job Market. - Jibril Frej; Anna Dai; Syrielle Montariol; Antoine Bosselut; Tanja Käser (SIGIR, 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)

Rethinking Skill Extraction in the Job Market Domain using Large Language Models. - Khanh Cao Nguyen; Mike Zhang; Syrielle Montariol; 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)

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; et al. (CoRR, 2024)

PAN-RSVQA: Vision Foundation Models as Pseudo-ANnotators for Remote Sensing Visual Question Answering. - Christel Chappuis; Gencer Sümbül; Syrielle Montariol; Sylvain Lobry; Devis Tuia (CVPR Workshops, 2025)

VinaBench: Benchmark for Faithful and Consistent Visual Narratives. - Silin Gao; Sheryl Mathew; Li Mi; Sepideh Mamooler; Mengjie Zhao; Hiromi Wakaki; Yuki Mitsufuji; Syrielle Montariol; Antoine Bosselut (CVPR, 2025)

INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge. - Angelika Romanou; Negar Foroutan; Anna Sotnikova; Zeming Chen 001; Sree Harsha Nelaturu; Shivalika Singh; Rishabh Maheshwary; Micol Altomare; Mohamed A. Haggag; Imanol Schlag; Marzieh Fadaee; Sara Hooker; et al. (ICLR, 2025)

Intrinsic User-Centric Interpretability through Global Mixture of Experts. - Vinitra Swamy; Syrielle Montariol; Julian Blackwell; Jibril Frej; Martin Jaggi; Tanja Käser (ICLR, 2025)

PICLe: Pseudo-annotations for In-Context Learning in Low-Resource Named Entity Detection. - Sepideh Mamooler; Syrielle Montariol; Alexander Mathis; Antoine Bosselut (NAACL (Long Papers), 2025)

DRIVINGVQA: Analyzing Visual Chain-of-Thought Reasoning of Vision Language Models in Real-World Scenarios with Driving Theory Tests. - Charles Corbière; Simon Roburin; Syrielle Montariol; Antoine Bosselut; Alexandre Alahi (CoRR, 2025)

Checkmate: interpretable and explainable RSVQA is the endgame. - Lucrezia Tosato; Christel Chappuis; Syrielle Montariol; Flora Weissgerber; Sylvain Lobry; Devis Tuia (CoRR, 2025)