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I am a Maître de Conférences (~associate professor) at INSA Rennes. I conduct my research in the Linkmedia team of Irisa.

My research focuses on Natural Language Processing and Machine Learning. My work can be summed up as the development of novel (combinatorial) algorithms and novel learning methods for structured prediction. Lately, I've been increasingly interested in the use of machine learning for research in linguistics (or, in other words, AI for science).

News

• (June, 2025) new paper accepted @ ACL 2025: Bregman Conditional Random Fields: Sequence Labeling with Parallelizable Inference Algorithms (Caio Corro, Mathieu Lacroix, Joseph Le Roux)

• (May, 2025) new preprint: Nested Named Entity Recognition as Single-Pass Sequence Labeling (Alberto Muñoz-Ortiz, David Vilares, Caio Corro, Carlos Gómez-Rodríguez)

• (April, 2025) our manuscript Discrete latent structure in neural networks has been accepted for publication in Foundation and Trends in Signal Processing!

• (March 10th, 2025) our new multilingual BERT-like encoder model is available: Check the EuroBERT HuggingFace page and the preprint!

• (January 17th, 2025) CroissantLLM's paper has been accepted in TLMR!

• (December 20th, 2024) Talk @ INRIA Paris: Named-Entity Recognition: Resurrecting Old School Machine Learning in the Era of Deep Learning

• (December, 2024) new paper accepted @ FinNLP (Coling workshop), Training LayoutLM from Scratch for Efficient Named-Entity Recognition in the Insurance Domain (Benno Uthayasooriyar, Antoine Ly, Franck Vermet, Caio Corro)

• (December, 2024) new paper accepted @ Coling, Few-shot domain adaptation for named-entity recognition via joint constrained k-means and subspace selection (Ayoub Hammal, Benno Uthayasooriyar, Caio Corro)

• (November 8th, 2024) Talk @ Irisa (Rennes): Named-Entity Recognition: Resurrecting Old School Machine Learning in the Era of Deep Learning

• (September, 2024) new paper accepted at EMNLP 2024, A fast and sound tagging method for discontinuous named-entity recognition (Caio Corro)

Students and postdocs

Current:

• Lilas Pastre, master student (2025) co-supervised with Laurent Amsaleg

• Ayoub Hammal, PhD student (oct. 2024 - …) co-supervised with Pierre Zweigenbaum and Miguel Couceiro

• Benno Uthayasooriyar, PhD student (sept. 2022 - …) co-supervised with Franck Vermet and Antoine Ly

Former:

• Ayoub Hammal, Master intern (2024)

• Alban Petit, PhD student (oct. 2020 - feb. 2024), co-supervised with François Yvon

• Yara Khater, Master intern (2022 & 2023)

• Emile Chapuis, postdoc (jan. 2022 - dec. 2023) co-advised with Nadi Tomeh

• Lili Lu, Master intern (2022)

• Lynda Attouche, Undergrad intern (2021)

• Alban Petit, Master intern (2020), now PhD student

• Nicolas Devatine, Master intern (2020), now Phd student @ IRIT