Spatial Interpolation with Message Passing Framework. - Evgeniy Faerman; Manuell Rogalla; Niklas Strauß; Adrian Krüger; Benedict Blümel; Max Berrendorf; Michael Fromm 001; Matthias Schubert (ICDM Workshops, 2019)

XD-STOD: Cross-Domain Superresolution for Tiny Object Detection. - Michael Fromm 001; Max Berrendorf; Evgeniy Faerman; Yiyi Chen 002; Balthasar Schüss; Matthias Schubert (ICDM Workshops, 2019)

TACAM: Topic And Context Aware Argument Mining. - Michael Fromm 001; Evgeniy Faerman; Thomas Seidl 001 (WI, 2019)

Using Supervised Learning to Classify Metadata of Research Data by Discipline of Research. - Tobias Weber; Dieter Kranzlmüller; Michael Fromm 001; Nelson Tavares de Sousa (CoRR, 2019)

Automated Detection of Conifer Seedlings in Drone Imagery Using Convolutional Neural Networks. - Michael Fromm 001; Matthias Schubert; Guillermo Castilla; Julia Linke; Gregory J. McDermid (Remote. Sens., 2019)

Unsupervised Anomaly Detection for X-Ray Images. - Diana Davletshina; Valentyn Melnychuk; Viet Tran; Hitansh Singla; Max Berrendorf; Evgeniy Faerman; Michael Fromm 001; Matthias Schubert (CoRR, 2020)

Relational and Fine-Grained Argument Mining. - Dietrich Trautmann; Michael Fromm 001; Volker Tresp; Thomas Seidl 001; Hinrich Schütze (Datenbank-Spektrum, 2020)

Using supervised learning to classify metadata of research data by field of study. - Tobias Weber; Dieter Kranzlmüller; Michael Fromm 001; Nelson Tavares de Sousa (Quant. Sci. Stud., 2020)

Argument Mining Driven Analysis of Peer-Reviews Dataset. - Michael Fromm 001; Max Berrendorf; Evgheniy Faerman; Thomas Seidl 001 (Zenodo, 2020)

Argument Mining Driven Analysis of Peer-Reviews. - Michael Fromm 001; Evgeniy Faerman; Max Berrendorf; Siddharth Bhargava; Ruoxia Qi; Yao Zhang; Lukas Dennert; Sophia Selle; Yang Mao; Thomas Seidl 001 (AAAI, 2021)

Diversity Aware Relevance Learning for Argument Search. - Michael Fromm 001; Max Berrendorf; Sandra Obermeier; Thomas Seidl 001; Evgeniy Faerman (ECIR (2), 2021)

Active Learning for Argument Strength Estimation. - Nataliia Kees; Michael Fromm 001; Evgeniy Faerman; Thomas Seidl 001 (CoRR, 2021)

Conifer Seedling Detection in UAV-Imagery with RGB-Depth Information. - Jason Jooste; Michael Fromm 001; Matthias Schubert (CoRR, 2021)

Towards a Holistic View on Argument Quality Prediction. - Michael Fromm 001; Max Berrendorf; Johanna Reiml; Isabelle Mayerhofer; Siddharth Bhargava; Evgeniy Faerman; Thomas Seidl 001 (CoRR, 2022)

Machine learning driven argument mining. - Michael Fromm 001 (2022)

Cross-Domain Argument Quality Estimation. - Michael Fromm 001; Max Berrendorf; Evgeniy Faerman; Thomas Seidl 001 (ACL (Findings), 2023)

Investigating Multilingual Instruction-Tuning: Do Polyglot Models Demand for Multilingual Instructions? - Alexander Arno Weber; Klaudia Thellmann; Jan Ebert; Nicolas Flores-Herr; Jens Lehmann 001; Michael Fromm 001; Mehdi Ali (EMNLP, 2024)

Tokenizer Choice For LLM Training: Negligible or Crucial? - Mehdi Ali; Michael Fromm 001; Klaudia Thellmann; Richard Rutmann; Max Lübbering; Johannes Leveling; Katrin Klug; Jan Ebert; Niclas Doll; Jasper Schulze Buschhoff; Charvi Jain; Alexander Arno Weber; et al. (NAACL-HLT (Findings), 2024)

Do Multilingual Large Language Models Mitigate Stereotype Bias? - Shangrui Nie; Michael Fromm 001; Charles Welch; Rebekka Görge; Akbar Karimi 001; Joan Plepi; Nazia Afsan Mowmita; Nicolas Flores-Herr; Mehdi Ali; Lucie Flek (CoRR, 2024)

Teuken-7B-Base & Teuken-7B-Instruct: Towards European LLMs. - Mehdi Ali; Michael Fromm 001; Klaudia Thellmann; Jan Ebert; Alexander Arno Weber; Richard Rutmann; Charvi Jain; Max Lübbering; Daniel Steinigen; Johannes Leveling; Katrin Klug; Jasper Schulze Buschhoff; et al. (CoRR, 2024)

Data Processing for the OpenGPT-X Model Family. - Nicolo' Brandizzi; Hammam Abdelwahab; Anirban Bhowmick; Lennard Helmer; Benny Jörg Stein; Pavel Denisov; Qasid Saleem; Michael Fromm 001; Mehdi Ali; Richard Rutmann; Farzad Naderi; Mohamad Saif Agy; et al. (CoRR, 2024)

Towards Multilingual LLM Evaluation for European Languages. - Klaudia Thellmann; Bernhard Stadler 001; Michael Fromm 001; Jasper Schulze Buschhoff; Alex Jude; Fabio Barth; Johannes Leveling; Nicolas Flores-Herr; Joachim Köhler; René Jäkel; Mehdi Ali (CoRR, 2024)

Judging Quality Across Languages: A Multilingual Approach to Pretraining Data Filtering with Language Models. - Mehdi Ali; Manuel Brack; Max Lübbering; Elias Wendt; Abbas Goher Khan; Richard Rutmann; Alex Jude; Maurice Kraus; Alexander Arno Weber; David Kaczér; Florian Mai; Lucie Flek; et al. (CoRR, 2025)