![]() | SONG, Y., LI, L., LOTHRITZ, C., EZZINI, S., SLEEM, L., GENTILE, N., STATE, R., BISSYANDE, T., & KLEIN, J. (2026). Are Small Language Models the Silver Bullet to Low-Resource Languages Machine Translation? Proceedings for the Ninth Workshop on Technologies for Machine Translation of Low Resource Languages (LoResMT 2026), 1-26. doi:10.18653/v1/2026.loresmt-1.1 Peer reviewed |
![]() | SLEEM, L., FRANCOIS, J., LI, L., Foucher, N., GENTILE, N., & STATE, R. (2026). NegBLEURT Forest: Leveraging Inconsistencies for Detecting Jailbreak Attacks. CCNC, 1-7. doi:10.1109/ccnc65079.2026.11366297 Peer reviewed |
![]() | LI, L., SONG, Y., SLEEM, L., WANG, Y., XU, Y., LOTHRITZ, C., GENTILE, N., STATE, R., BISSYANDE, T., & KLEIN, J. (2026). Do Large Language Models Grasp The Grammar? Evidence from Grammar-Book-Guided Probing in Luxembourgish. LREC. Peer reviewed |
![]() | LI, L., SLEEM, L., WANG, Y., XU, Y., GENTILE, N., & STATE, R. (2026). Uncovering Zero-Shot Generalization Gaps in Time-Series Foundation Models Using Real-World Videos. AI4TS @ AAAI 2026. Peer reviewed |
![]() | LI, L., SLEEM, L., GENTILE, N., Nichil, G., & STATE, R. (13 August 2025). Exploring the Impact of Temperature on Large Language Models: Hot or Cold? Procedia Computer Science, 264, 242-251. doi:10.1016/j.procs.2025.07.135 Peer reviewed |
![]() | LI, L., SLEEM, L., GENTILE, N., Nichil, G., & STATE, R. (01 August 2025). Small Language Models in the Real World: Insights from Industrial Text Classification [Paper presentation]. The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025). doi:10.18653/v1/2025.acl-industry.68 Peer reviewed |
![]() | GENTILE, N., Bia, M., Clark, A. E., D'AMBROSIO, C., & TKATCHENKO, A. (25 March 2025). What Makes a Satisfying Life? Prediction and Interpretation with Machine‐Learning Algorithms. Review of Income and Wealth, 71 (2). doi:10.1111/roiw.70003 Peer Reviewed verified by ORBi |
![]() | Oparina, E., Kaiser, C., GENTILE, N., TKATCHENKO, A., Clark, A. E., De Neve, J.-E., & D'AMBROSIO, C. (10 January 2025). Machine learning in the prediction of human wellbeing. Scientific Reports, 15 (1), 1632. doi:10.1038/s41598-024-84137-1 Peer Reviewed verified by ORBi |
![]() | SONG, Y., LI, L., LOTHRITZ, C., EZZINI, S., SLEEM, L., GENTILE, N., STATE, R., BISSYANDE, T., & KLEIN, J. (2025). Is Small Language Model the Silver Bullet to Low-Resource Languages Machine Translation? LoResMT @ EACL. doi:10.48550/arXiv.2503.24102 Peer reviewed |
![]() | GENTILE, N. (2022). Essays on the Economics of Wellbeing and Machine Learning [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/52442 |