Michael Fromm

According to our database, Michael Fromm authored at least 17 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Investigating Multilingual Instruction-Tuning: Do Polyglot Models Demand for Multilingual Instructions?

Alexander Arno Weber, Klaudia Thellmann, Jan Ebert, Nicolas Flores-Herr, Jens Lehmann, Michael Fromm, Mehdi Ali

CoRR, 2024

2023

Tokenizer Choice For LLM Training: Negligible or Crucial?

Mehdi Ali, Michael Fromm, Klaudia Thellmann, Richard Rutmann, Max Lübbering, Johannes Leveling, Katrin Klug, Jan Ebert, Niclas Doll, Jasper Schulze Buschhoff, Charvi Jain, Alexander Arno Weber, Lena Jurkschat, Hammam Abdelwahab, Chelsea John, Pedro Ortiz Suarez, Malte Ostendorff, Samuel Weinbach, Rafet Sifa, Stefan Kesselheim, Nicolas Flores-Herr

CoRR, 2023

Cross-Domain Argument Quality Estimation.

Michael Fromm, Max Berrendorf, Evgeniy Faerman, Thomas Seidl

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Machine learning driven argument mining.

Michael Fromm

PhD thesis, 2022

Towards a Holistic View on Argument Quality Prediction.

Michael Fromm, Max Berrendorf, Johanna Reiml, Isabelle Mayerhofer, Siddharth Bhargava, Evgeniy Faerman, Thomas Seidl

CoRR, 2022

2021

Conifer Seedling Detection in UAV-Imagery with RGB-Depth Information.

Jason Jooste, Michael Fromm, Matthias Schubert

CoRR, 2021

Active Learning for Argument Strength Estimation.

Nataliia Kees, Michael Fromm, Evgeniy Faerman, Thomas Seidl

CoRR, 2021

Diversity Aware Relevance Learning for Argument Search.

Michael Fromm, Max Berrendorf, Sandra Obermeier, Thomas Seidl, Evgeniy Faerman

Proceedings of the Advances in Information Retrieval, 2021

Argument Mining Driven Analysis of Peer-Reviews.

Michael Fromm, Evgeniy Faerman, Max Berrendorf, Siddharth Bhargava, Ruoxia Qi, Yao Zhang, Lukas Dennert, Sophia Selle, Yang Mao, Thomas Seidl

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Using supervised learning to classify metadata of research data by field of study.

Tobias Weber, Dieter Kranzlmüller, Michael Fromm, Nelson Tavares de Sousa

Quant. Sci. Stud., 2020

Relational and Fine-Grained Argument Mining.

Dietrich Trautmann, Michael Fromm, Volker Tresp, Thomas Seidl, Hinrich Schütze

Datenbank-Spektrum, 2020

Unsupervised Anomaly Detection for X-Ray Images.

Diana Davletshina, Valentyn Melnychuk, Viet Tran, Hitansh Singla, Max Berrendorf, Evgeniy Faerman, Michael Fromm, Matthias Schubert

CoRR, 2020

2019

Automated Detection of Conifer Seedlings in Drone Imagery Using Convolutional Neural Networks.

Michael Fromm, Matthias Schubert, Guillermo Castilla, Julia Linke, Gregory J. McDermid

Remote. Sens., 2019

Using Supervised Learning to Classify Metadata of Research Data by Discipline of Research.

Tobias Weber, Dieter Kranzlmüller, Michael Fromm, Nelson Tavares de Sousa

CoRR, 2019

TACAM: Topic And Context Aware Argument Mining.

Michael Fromm, Evgeniy Faerman, Thomas Seidl

Proceedings of the 2019 IEEE/WIC/ACM International Conference on Web Intelligence, 2019

XD-STOD: Cross-Domain Superresolution for Tiny Object Detection.

Michael Fromm, Max Berrendorf, Evgeniy Faerman, Yiyi Chen, Balthasar Schüss, Matthias Schubert

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Spatial Interpolation with Message Passing Framework.

Evgeniy Faerman, Manuell Rogalla, Niklas Strauß, Adrian Krüger, Benedict Blümel, Max Berrendorf, Michael Fromm, Matthias Schubert

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019