Michael Fromm

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 20

Top Topics

Convolutional Neural Networks

Quality Estimation

Automated Detection

Top Venues

Datenbank-Spektrum

Publications

Shangrui Nie, Michael Fromm, Charles Welch, Rebekka Görge, Akbar Karimi, Joan Plepi, Nazia Afsan Mowmita, Nicolas Flores-Herr, Mehdi Ali, Lucie Flek
Do Multilingual Large Language Models Mitigate Stereotype Bias? CoRR (2024)
Alexander Arno Weber, Klaudia Thellmann, Jan Ebert, Nicolas Flores-Herr, Jens Lehmann, Michael Fromm, Mehdi Ali
Investigating Multilingual Instruction-Tuning: Do Polyglot Models Demand for Multilingual Instructions? CoRR (2024)
Michael Fromm, Max Berrendorf, Evgeniy Faerman, Thomas Seidl
Cross-Domain Argument Quality Estimation. ACL (Findings) (2023)
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
Tokenizer Choice For LLM Training: Negligible or Crucial? CoRR (2023)
Michael Fromm, Max Berrendorf, Johanna Reiml, Isabelle Mayerhofer, Siddharth Bhargava, Evgeniy Faerman, Thomas Seidl
Towards a Holistic View on Argument Quality Prediction. CoRR (2022)
Jason Jooste, Michael Fromm, Matthias Schubert
Conifer Seedling Detection in UAV-Imagery with RGB-Depth Information. CoRR (2021)
Michael Fromm, Max Berrendorf, Sandra Obermeier, Thomas Seidl, Evgeniy Faerman
Diversity Aware Relevance Learning for Argument Search. ECIR (2) (2021)
Michael Fromm, Evgeniy Faerman, Max Berrendorf, Siddharth Bhargava, Ruoxia Qi, Yao Zhang, Lukas Dennert, Sophia Selle, Yang Mao, Thomas Seidl
Argument Mining Driven Analysis of Peer-Reviews. AAAI (2021)
Nataliia Kees, Michael Fromm, Evgeniy Faerman, Thomas Seidl
Active Learning for Argument Strength Estimation. CoRR (2021)
Michael Fromm, Max Berrendorf, Sandra Obermeier, Thomas Seidl, Evgeniy Faerman
Diversity Aware Relevance Learning for Argument Search. CoRR (2020)
Michael Fromm, Evgeniy Faerman, Max Berrendorf, Siddharth Bhargava, Ruoxia Qi, Yao Zhang, Lukas Dennert, Sophia Selle, Yang Mao, Thomas Seidl
Argument Mining Driven Analysis of Peer-Reviews. CoRR (2020)
Dietrich Trautmann, Michael Fromm, Volker Tresp, Thomas Seidl, Hinrich Schütze
Relational and Fine-Grained Argument Mining. Datenbank-Spektrum 20 (2) (2020)
Diana Davletshina, Valentyn Melnychuk, Viet Tran, Hitansh Singla, Max Berrendorf, Evgeniy Faerman, Michael Fromm, Matthias Schubert
Unsupervised Anomaly Detection for X-Ray Images. CoRR (2020)
Tobias Weber, Dieter Kranzlmüller, Michael Fromm, Nelson Tavares de Sousa
Using supervised learning to classify metadata of research data by field of study. Quant. Sci. Stud. 1 (2) (2020)
Michael Fromm, Max Berrendorf, Evgeniy Faerman, Yiyi Chen, Balthasar Schüss, Matthias Schubert
XD-STOD: Cross-Domain Superresolution for Tiny Object Detection. ICDM Workshops (2019)
Tobias Weber, Dieter Kranzlmüller, Michael Fromm, Nelson Tavares de Sousa
Using Supervised Learning to Classify Metadata of Research Data by Discipline of Research. CoRR (2019)
Michael Fromm, Evgeniy Faerman, Thomas Seidl
TACAM: Topic And Context Aware Argument Mining. WI (2019)
Michael Fromm, Matthias Schubert, Guillermo Castilla, Julia Linke, Gregory J. McDermid
Automated Detection of Conifer Seedlings in Drone Imagery Using Convolutional Neural Networks. Remote. Sens. 11 (21) (2019)
Michael Fromm, Evgeniy Faerman, Thomas Seidl
TACAM: Topic And Context Aware Argument Mining. CoRR (2019)
Evgeniy Faerman, Manuell Rogalla, Niklas Strauß, Adrian Krüger, Benedict Blümel, Max Berrendorf, Michael Fromm, Matthias Schubert
Spatial Interpolation with Message Passing Framework. ICDM Workshops (2019)