Florian Le Bronnec

I am a PhD student between the teams MILES from LAMSADE (Paris-Dauphine University) and MLIA from ISIR. Don't hesitate to get in touch if we have a common research interest!

Open to postdoc opportunities in Japan!

I'll be available for postdoc positions in Tokyo starting January 2026 on probabilist machine learning and LLMs. Feel free to reach out if you think there's a potential fit!

News

ICLR 2025. I attended the ICLR 2025 conference in Singapore.
ACL 2024. I attended the ACL 2024 conference in Bangkok.
Best Paper Award EACL 2024. Very proud to have been awarded the Best Paper Award for our work LOCOST: State-Space Models for Long Document Abstractive Summarization.
EACL 2024. I attended the EACL 2024 conference in Malta.

Research Interests

Probabilist machine learning
Large Language Models
Efficient generative architectures
Evaluation of Large Language Models
Faithfulness of LLMs

Short Bio

2023-Today: PhD student in Machine Learning for NLP, at Universite Paris Dauphine-PSL. I'm part of the labs LAMSADE (MILES Team) and ISIR (MLIA Team)
May 2022-October 2022: SIPGA Awardee. Research intern at A*STAR (I2R) in Singapore under the supervision of Nancy F. Chen and Mathieu Ravaut. Worked on long documents abstractive summarization.
2021–2022: MSc in Applied Mathematics at École Normale Supérieure Paris-Saclay.
2018–2022: Engineering degree (BSc + MSc equivalent) from CentraleSupélec, Université Paris-Saclay. Specialized in mathematics with a focus on machine learning and statistics.

A Few Recent Publications

Florian Le Bronnec*, Alexandre Vérine*, Benjamin Negrevergne, Yann Chevaleyre, Alexandre Allauzen, preprint available soon (ICML 2025)
Florian Le Bronnec*, Song Duong*, Alexandre Allauzen, Laure Soulier, Vincent Guigue, Alberto Lumbreras, Patrick Gallinari SCOPE: A Self-supervised Framework for Improving Faithfulness in Conditional Text Generation (ICLR 2025)
Florian Le Bronnec*, Alexandre Verine*, Benjamin Negrevergne, Yann Chevaleyre, Alexandre Allauzen Exploring Precision and Recall to assess the quality and diversity of LLMs (ACL 2024)
Florian Le Bronnec*, Song Duong*, Mathieu Ravaut, Alexandre Allauzen, Nancy F. Chen, Vincent Guigue, Alberto Lumbreras, Laure Soulier, Patrick Gallinari LOCOST: State-Space Models for Long Document Abstractive Summarization (EACL 2024, Best Paper Award)

Current Teaching Activities

Large Language Models (M2), M2 IASD
Natural Langauge Processing (Executive Master), Exec Master IASD

Contact Information

e-mail: florian.le-bronnec (at) dauphine.psl.eu