2026
The text on the creative: An under-exploited ranking modality for short-form video ads
Shubham Goel, Angli Liu, Antoine Simoulin, Himanshu Thakur, Qin Huang, Benjamin Au, Guy Lebanon, Sagar Chordia, Andrew Treadway, Wendy Jiang, Yiding Wen, Jianing Fu, Alan Li, Haibo Zhang, Selahattin Akkas, Calvin Ma, Zhen Zeng and Yunyu He
RecSys 2026
2025
DocAgent: a multi-agent system for automated code documentation generation
Dayu Yang, Antoine Simoulin, Xin Qian, Xiaoyi Liu, Yuwei Cao, Zhaopu Teng and Grey Yang
ACL 2025 (demonstration)
Code to think, think to code: a survey on code-enhanced reasoning and reasoning-driven code intelligence in LLMs
Dayu Yang, Tianyang Liu, Daoan Zhang, Antoine Simoulin, Xiaoyi Liu, Yuwei Cao, Zhaopu Teng, Xin Qian, Grey Yang, Jiebo Luo and Julian McAuley
EMNLP 2025
2024
Memory-efficient fine-tuning of transformers via token selection
Antoine Simoulin, Namyong Park, Xiaoyi Liu and Grey Yang
EMNLP 2024
Advancements in managing pure ductal carcinoma in situ: An 18-year artificial intelligence-aided analysis of 998 patients
Jonathan Sabah, Charmène Cruchet, Mousselim Gharbi, Marie-Pierre Chenard, Alexis Marouk, Antoine Simoulin, Nicolas Thiebaut, Karl Neuberger, Sébastien Molière and Carole Mathelin
Innovative Practice in Breast Health, 2024
Les représentations contextuelles stéréotypées dans les modèles de langue français : mieux les identifier pour ne pas les reproduire
Léandre Adam-Cuvillier, Pierre-Jean Larpin and Antoine Simoulin
TALN 2024
Forward learning of graph neural networks
Namyong Park, Xing Wang, Antoine Simoulin, Shuai Yang, Grey Yang, Ryan A. Rossi, Puja Trivedi and Nesreen K. Ahmed
ICLR 2024
2023
GLEMOS: Benchmark for instantaneous graph learning model selection
Namyong Park, Ryan Rossi, Xing Wang, Antoine Simoulin, Nesreen Ahmed and Christos Faloutsos
NeurIPS 2023
Memory-efficient selective fine-tuning
Antoine Simoulin, Namyong Park, Xiaoyi Liu and Grey Yang
ES-FoMo 2023
From free‐text electronic health records to structured cohorts: Onconum, an innovative methodology for real‐world data mining in breast cancer
Antoine Simoulin, Nicolas Thiebaut, Karl Neuberger, Issam Ibnouhsein, Nicolas Brunel, Raphaël Viné, Nicolas Bousquet, Jules Latapy, Nathalie Reix, Sébastien Molière, Massimo Lodi and Carole Mathelin
Computer Methods and Programs in Biomedicine, 2023
2022
Sentence embeddings and their relation with sentence structures
Antoine Simoulin
PhD Thesis, Université Paris Cité, France, 2022
Unifying parsing and tree-structured models for generating sentence semantic representations
Antoine Simoulin and Benoı̂t Crabbé
NAACL-HLT 2022 (Student)
2021
How many layers and why? An analysis of the model depth in transformers
Antoine Simoulin and Benoı̂t Crabbé
ACL 2021 (Student)
Un modèle transformer génératif pré-entrainé pour le ______ français
Antoine Simoulin and Benoı̂t Crabbé
TALN 2021
Contrasting distinct structured views to learn sentence embeddings
Antoine Simoulin and Benoı̂t Crabbé
EACL 2021 (Student)
2020
Deep Learning: des usages contrastés Une contextualisation de l’ouvrage de Goodfellow, Bengio et Courville
Rémi Adon, Abdellah Kaid Gherbi, Florian Arthur, Aurélia Nègre, Guillaume Basquiast, Antoine Simoulin, Guillaume Hochard, Fouad Talaouit-Mockli and Nicolas Bousquet
Statistique et Société, 2020
2017
Impact du dépistage : Une expérience française
Carole Mathelin, Jules Colin, Sébastien Molière, Audrey Fleury, Christelle Linck, Marie Paté, Catherine Guldenfels, Antoine Simoulin, Karl Neuberger and Jeremie Jégu
Mise À jour du collège national des gynécologues et obstétriciens français, 2017