Back
  1. Home
  2. Profile of Nelie Laura Makenne (ULiège)
Profil

Makenne Nelie Laura

HEC Liège : UER > UER Opérations : Systèmes d'information de gestion

HEC Liège Research

HEC Liège Research: Business Analytics & Supply Chain Mgmt

See author's contact details
ORCID
0000-0002-9899-6381
Main Referenced Co-authors
Ittoo, Ashwin  (5)
Main Referenced Keywords
AI (1); Auto-encoder (1); Dimensional reduction methods (1); Large language model (1); LLM (1);
Main Referenced Disciplines
Computer science (4)
Management information systems (1)
Quantitative methods in economics & management (1)

Publications (total 5)

The most downloaded
69 downloads
Makenne, N. L., & Ittoo, A. (14 November 2024). Towards Small Language Model [Paper presentation]. 19th Day of Scientific Collaboration between the Doctoral Schools in Management Science of Université Paris I Panthéon-Sorbonne and Université libre de Bruxelles & Research Seminar in Applied Economics and Management (RSAEM), Brussels, Belgium. https://hdl.handle.net/2268/324369

Makenne, N. L., & Ittoo, A. (06 November 2025). Making GenAI Greener & Sustainable [Paper presentation]. PARTNER Conference on Current Issues in Sustainability.
Peer reviewed

Makenne, N. L., & Ittoo, A. (22 October 2025). From Large Language Models to Small Language Models [Paper presentation]. Digital challenges for small languages workshop.
Peer reviewed

Makenne, N. L., & Ittoo, A. (2025). SVD & AutoEncoders for Small LLMs. In Proceddings The Joint 25th Nordic Conference on Computational Linguistics. The Joint 25th Nordic Conference on Computational Linguistics.
Peer reviewed

Makenne, N. L., & Ittoo, A. (14 November 2024). Towards Small Language Model [Paper presentation]. 19th Day of Scientific Collaboration between the Doctoral Schools in Management Science of Université Paris I Panthéon-Sorbonne and Université libre de Bruxelles & Research Seminar in Applied Economics and Management (RSAEM), Brussels, Belgium.

Makenne, N. L., & Ittoo, A. (16 May 2024). Towards Small Large Language Models [Poster presentation]. Research Day 2024.

Contact ORBi