Univ.-Prof. Dr. -Ing. Benjamin Roth, B.Sc. M.Sc.
1090 Wien
Raum : 05.17
Lehrveranstaltungen
Wintersemester 2026
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051080 LP Softwarepraktikum mit Bachelorarbeit
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053021 LP Praktikum Informatik 1
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053031 LP Praktikum Informatik 2
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053049 SE Masterseminar
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136041 SE Explainability for LLMs
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500501 SE Doktoranden Forschungsseminar - Data and Knowledge
Sommersemester 2026
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053049 SE Masterseminar
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053640 SE Master's Seminar
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500501 SE Doktoranden Forschungsseminar - Data and Knowledge
Wintersemester 2025
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053021 LP Praktikum Informatik 1
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053049 SE Masterseminar
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053631 LP Data Analysis Project
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136041 SE Explainability for LLMs
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500501 SE Doktoranden Forschungsseminar - Data and Knowledge
Publikationen
Exploring prompts to elicit memorization in masked language model-based named entity recognition. / Xia, Yuxi; Sedova, Anastasiia; Luz de Araujo, Pedro Henrique et al.
in: PLoS ONE, 2025.
Veröffentlichungen: Beitrag in Fachzeitschrift › Artikel › Peer Reviewed
Influence-driven Curriculum Learning for Pre-training on Limited Data. / Schoenegger, Loris; Thoma, Lukas; Blevins, Terra et al.
2025. 356–379 Beitrag in The First BabyLM Workshop at the Conference
on Empirical Methods in Natural Language Processing 2025, Suzhou, China.
Veröffentlichungen: Beitrag zu Konferenz › Paper › Peer Reviewed
Learn to pick the winner: Black-box ensembling for textual and visual question answering. / Xia, Yuxi; Zaporojets, Klim; Roth, Benjamin.
Konferenz zur Verarbeitung natürlicher Sprache 2025. 2025.
Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed
Principled Personas: Defining and Measuring the Intended Effects of Persona Prompting on Task Performance. / Luz de Araujo, Pedro Henrique; Röttger, Paul; Hovy, Dirk et al.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing. 2025.
Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed
RecombiText: Compositional Data Augmentation for Enhancing LLM Pre-Training Datasets in Low-Resource Scenarios. / Tampier, Alexander; Thoma, Lukas; Schoenegger, Loris et al.
2025. Beitrag in The First BabyLM Workshop at the Conference
on Empirical Methods in Natural Language Processing 2025, Suzhou, China.
Veröffentlichungen: Beitrag zu Konferenz › Paper › Peer Reviewed
Specification Overfitting in Artificial Intelligence. / Roth, Benjamin; Luz de Araujo, Pedro Henrique (Korresp. Autor*in); Xia, Yuxi et al.
in: Artificial Intelligence Review, Band 58, Nr. 2, 35, 20.12.2024.
Veröffentlichungen: Beitrag in Fachzeitschrift › Artikel › Peer Reviewed
To Know or Not To Know? Analyzing Self-Consistency of Large Language Models under Ambiguity. / Sedova, Anastasiia (Korresp. Autor*in); Litschko, Robert (Korresp. Autor*in); Frassinelli, Diego et al.
Findings of the Association for Computational Linguistics: EMNLP 2024. Hrsg. / Yaser Al-Onaizan; Mohit Bansal; Yun-Nung Chen. Kerrville: Association for Computational Linguistics (ACL), 2024. S. 17203-17217.
Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed
Collaborative Development of Modular Open Source Educational Resources for Natural Language Processing. / Aßenmacher, Matthias (Korresp. Autor*in); Stephan, Andreas; Weißweiler, Leonie et al.
Proceedings of the Sixth Workshop on Teaching NLP. Hrsg. / Sana Al-azzawi; Laura Biester; György Kovács; Leena Mathur; Margot Mieskes; Leonie Weissweiler. Kerrville: ACL Anthology, 2024. S. 43–53.
Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed
The Impact of Cluster Centroid and Text Review Embeddings on Recommendation Methods. / Dolog, Peter; Sadikaj, Ylli; Velaj, Yllka et al.
WWW '24: Companion Proceedings of the ACM Web Conference 2024. Hrsg. / Tat-Seng Chua; Chong-Wah Ngo. New York: ACM, 2024. S. 589-592.
Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed
Counterfactual Reasoning with Knowledge Graph Embeddings. / Zellinger, Lena; Stephan, Andreas (Korresp. Autor*in); Roth, Benjamin.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: (Volume 1: Long Papers). Hrsg. / Yvette Graham; Matthew Purver. Kerrville: ACL Anthology, 2024. S. 2753-2772.
Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed
Projekte
Active Learning with Large Language Models for Cross-lingual Pseudo-labeling in Computational Social Science
Understanding Language in Context
Erkennung Impliziter Beleidigungen
Knowledge-infused Deep Learning for Natural Language Processing
Vorträge
Statistics chatbots in academia: Mapping psychology students’ conversations with a large language model (LLM)
From Calculation to Adjudication: Examining LLM Judges on Mathematical Reasoning Tasks
Influences on LLM Calibration: A Study of Response Agreement, Loss Functions, and Prompt Styles
Analysing zero-shot temporal relation extraction on clinical notes using temporal consistency
Functionality learning through specification instructions
Text-Guided Image Clustering
MemeGraphs: Linking memes to knowledge graphs
ACTC: Active Threshold Calibration for Cold-Start Knowledge Graph Completion
Learning with Noisy Labels by Adaptive Gradient-Based Outlier Removal
Focused Contrastive Training for Test-based Constituency Analysis
Knodle: Modular Weakly Supervised Learning with PyTorch
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