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Pirenne Lize

Dép. d'électric., électron. et informat. (Inst.Montefiore) > Smart grids

Montefiore Institute

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ORCID
0009-0004-4655-118X
Main Referenced Co-authors
Ernst, Damien  (5)
Louppe, Gilles  (3)
Mokeddem, Samy  (2)
de la Brassinne Bonardeaux, Maxence (1)
Lambrechts, Gaspard  (1)
Main Referenced Keywords
Reinforcement Learning (3); Large Language Models (2); LLM (2); LLMs (2); Rationale Extraction (2);
Main Referenced Unit & Research Centers
Montefiore Institute - Montefiore Institute of Electrical Engineering and Computer Science - ULiège (4)
Trusted AI Labs (TRAIL) (1)
Main Referenced Disciplines
Computer science (6)

Publications (total 6)

The most downloaded
287 downloads
Pirenne, L., & Ernst, D. (2025). Understanding the LLM landscape: An early 2025 overview [Paper presentation]. La révolution de l’IA générative : exemples concrets et perspectives, Liège, Belgium. https://hdl.handle.net/2268/330580

Pirenne, L.* , Mokeddem, S.* , Ernst, D., & Louppe, G. (2025). Exploration of Rationale-Extraction Methods for Closed-Domain Question Answering with a New Sentence-Level Rationale Dataset. In Ryutaro Ichise (Ed.), Natural Language Processing and Information Systems (pp. 3-13). Cham, Switzerland: Springer. doi:10.1007/978-3-031-97144-0_1
Peer reviewed
* These authors have contributed equally to this work.

Pirenne, L., & Ernst, D. (2025). Understanding the LLM landscape: An early 2025 overview [Paper presentation]. La révolution de l’IA générative : exemples concrets et perspectives, Liège, Belgium.

Pirenne, L. (2025). Reinforcement Learning and Large Language Models. (ULiège - Université de Liège [School of Engineering], Liège, Belgium, INFO8003-1 Reinforcement Learning).

Pirenne, L., Lambrechts, G., Marlier, N., de la Brassinne Bonardeaux, M., Louppe, G., & Ernst, D. (2025). Contributive Attribution for Question Answering via Tree-based Context Pruning. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/337121.

Ernst, D., Louppe, G., & Pirenne, L. (2024). LLMs: generating innovative and effective collaborations in AI [Paper presentation]. NRB AI &c Data Xperience.

Pirenne, L., Mokeddem, S., & Ernst, D. (10 June 2024). Sentence-Level Rationale Extraction Methods Large For Closed-domain Question Answering Explainability [Poster presentation]. Belgium-Netherlands workshop on Reinforcement Learning (BeNeRL) 2024, Amsterdam, Netherlands.

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