Faculty of Computer Science

Loris Schoenegger, B.Sc. MSc

Loris Schoenegger
Research Group Data Mining and Machine Learning
Kolingasse 14-16
1090 Wien
Room : 05.72
loris.schoenegger(at)univie.ac.at
u:cris portal

Courses

Summer term 2026

Publications

Influential Training Data Retrieval for Explaining Verbalized Confidence of LLMs. / Xia, Yuxi; Schoenegger, Loris; Roth, Benjamin.
The 48th European Conference on Information Retrieval (ECIR 2026) . 2026.

Publications: Contribution to book › Contribution to proceedings › Peer Reviewed

Compact Example-Based Explanations for Language Models. / Schoenegger, Loris; Roth, Benjamin.
Findings of the Association for Computational Linguistics: ACL 2026. Association for Computational Linguistics (ACL), 2026.

Publications: Contribution to book › Contribution to proceedings › Peer Reviewed

doi.org/10.48550/arXiv.2601.03786

Influence-driven Curriculum Learning for Pre-training on Limited Data. / Schoenegger, Loris; Thoma, Lukas; Blevins, Terra et al.
2025. 356–379 Paper presented at The First BabyLM Workshop at the Conference
on Empirical Methods in Natural Language Processing 2025, Suzhou, China.

Publications: Contribution to conference › Paper › Peer Reviewed

doi.org/10.18653/v1/2025.babylm-main.26

RecombiText: Compositional Data Augmentation for Enhancing LLM Pre-Training Datasets in Low-Resource Scenarios. / Tampier, Alexander; Thoma, Lukas; Schoenegger, Loris et al.
2025. Paper presented at The First BabyLM Workshop at the Conference
on Empirical Methods in Natural Language Processing 2025, Suzhou, China.

Publications: Contribution to conference › Paper › Peer Reviewed

doi.org/10.18653/v1/2025.babylm-main.40
1 - 4 out of 4

Projects

Cognitive Plausibility of Deep Learning Language Models

Thoma, L. (Project Lead), Blevins, T. (Co-Lead), Schoenegger, L. (Project Staff), Weyers, I. (Project Lead) & Çano, E. (Affiliated Project Staff)

1/08/22 → 31/01/25

Project: Research funding