Back
  1. Home
  2. Profile of Samy Mokeddem (ULiège)
Profil

Mokeddem Samy

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

Montefiore Institute

See author's contact details
ORCID
0009-0009-7543-005X
Main Referenced Co-authors
Ernst, Damien  (3)
Pirenne, Lize  (2)
Dachet, Victor  (1)
Derval, Guillaume  (1)
Louppe, Gilles  (1)
Main Referenced Keywords
Rationale Extraction (2); Reinforcement Learning (2); Classifier (1); Fine Tuning (1); Large Language Model (1);
Main Referenced Unit & Research Centers
Montefiore Institute - Montefiore Institute of Electrical Engineering and Computer Science - ULiège (2)
Trusted AI Labs (TRAIL) (1)
Main Referenced Disciplines
Computer science (2)
Energy (1)

Publications (total 3)

The most downloaded
92 downloads
Pirenne, L.* , Mokeddem, S.* , Ernst, D., & Louppe, G. (2024). Exploration of Closed-Domain Question Answering Explainability Methods With a Sentence-Level Rationale Dataset. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/322654. https://hdl.handle.net/2268/322654

Mokeddem, S., Miftari, B., Dachet, V., Derval, G., & Ernst, D. (In press). Distributed e-Fuel Hubs (DEFH): A case study of a Belgian Fischer-Tropsch liquids hub. (Working paper). ORBi-University of Liège. https://orbi.uliege.be/handle/2268/327044.

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.

Pirenne, L.* , Mokeddem, S.* , Ernst, D., & Louppe, G. (2024). Exploration of Closed-Domain Question Answering Explainability Methods With a Sentence-Level Rationale Dataset. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/322654.
* These authors have contributed equally to this work.

Contact ORBi