An innovative solution for breast cancer textual big data analysis. - Nicolas Thiebaut; Antoine Simoulin; Karl Neuberger; Issam Ibnouhsein; Nicolas Bousquet 002; Nathalie Reix; Sébastien Molière; Carole Mathelin (CoRR, 2017)

How Many Layers and Why? An Analysis of the Model Depth in Transformers. - Antoine Simoulin; Benoît Crabbé (ACL (student), 2021)

Contrasting distinct structured views to learn sentence embeddings. - Antoine Simoulin; Benoît Crabbé (EACL (Student Research Workshop), 2021)

Un modèle Transformer Génératif Pré-entrainé pour le______ français (Generative Pre-trained Transformer in______ (French) We introduce a French adaptation from the well-known GPT model). - Antoine Simoulin; Benoît Crabbé (TALN (1), 2021)

Unifying Parsing and Tree-Structured Models for Generating Sentence Semantic Representations. - Antoine Simoulin; Benoît Crabbé (NAACL-HLT (Student Research Workshop), 2022)

Sentence embeddings and their relation with sentence structures. (Plongements de phrases et leurs relations avec les structures de phrases). - Antoine Simoulin (2022)

GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection. - Namyong Park; Ryan A. Rossi; Xing Wang; Antoine Simoulin; Nesreen K. Ahmed; Christos Faloutsos (NeurIPS, 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 J.-B. Brunel; Raphaël Viné; Nicolas Bousquet 002; Jules Latapy; Nathalie Reix; Sébastien Molière; Massimo Lodi; Carole Mathelin (Comput. Methods Programs Biomed., 2023)

Memory-Efficient Fine-Tuning of Transformers via Token Selection. - Antoine Simoulin; Namyong Park; Xiaoyi Liu; Grey Yang (EMNLP, 2024)

Forward Learning of Graph Neural Networks. - Namyong Park; Xing Wang; Antoine Simoulin; Shuai Yang; Grey Yang; Ryan A. Rossi; Puja Trivedi; Nesreen K. Ahmed (ICLR, 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; Antoine Simoulin (TALN (1), 2024)

Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs. - Dayu Yang; Tianyang Liu 003; Daoan Zhang; Antoine Simoulin; Xiaoyi Liu; Yuwei Cao; Zhaopu Teng; Xin Qian; Grey Yang; Jiebo Luo 001; Julian J. McAuley (CoRR, 2025)

DocAgent: A Multi-Agent System for Automated Code Documentation Generation. - Dayu Yang; Antoine Simoulin; Xin Qian; Xiaoyi Liu; Yuwei Cao; Zhaopu Teng; Grey Yang (CoRR, 2025)