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ORCIDMichael Fromm 0001
Person information
- affiliation: Fraunhofer IAIS, Germany
- affiliation (former): LMU Munich, Institute of Informatics, Germany
Other persons with the same name
- Mike Fromm 0002 (aka: Michael Fromm 0002) — University of Nebraska - Lincoln, Center for Biotechnology, NE, USA
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2020 – today
- 2024
[c7]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? NAACL-HLT (Findings) 2024: 3907-3924- [i11]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 abs/2402.13703 (2024) - [i10]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 abs/2407.05740 (2024) - 2023
- [c6]Michael Fromm, Max Berrendorf, Evgeniy Faerman, Thomas Seidl:
Cross-Domain Argument Quality Estimation. ACL (Findings) 2023: 13435-13448 - [i9]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 abs/2310.08754 (2023) - 2022
- [b1]Michael Fromm:
Machine learning driven argument mining. Ludwig Maximilian University of Munich, Germany, 2022 - [i8]Michael Fromm, Max Berrendorf, Johanna Reiml, Isabelle Mayerhofer, Siddharth Bhargava, Evgeniy Faerman, Thomas Seidl:
Towards a Holistic View on Argument Quality Prediction. CoRR abs/2205.09803 (2022) - 2021
- [c5]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: 4758-4766 - [c4]Michael Fromm, Max Berrendorf, Sandra Obermeier, Thomas Seidl, Evgeniy Faerman:
Diversity Aware Relevance Learning for Argument Search. ECIR (2) 2021: 264-271 - [e1]Thomas Seidl, Michael Fromm, Sandra Obermeier:
Proceedings of the LWDA 2021 Workshops: FGWM, KDML, FGWI-BIA, and FGIR, Online, September 1-3, 2021. CEUR Workshop Proceedings 2993, CEUR-WS.org 2021 [contents] - [i7]Nataliia Kees, Michael Fromm, Evgeniy Faerman, Thomas Seidl:
Active Learning for Argument Strength Estimation. CoRR abs/2109.11319 (2021) - [i6]Jason Jooste, Michael Fromm, Matthias Schubert:
Conifer Seedling Detection in UAV-Imagery with RGB-Depth Information. CoRR abs/2111.11388 (2021) - 2020
- [j3]Dietrich Trautmann
, Michael Fromm, Volker Tresp, Thomas Seidl, Hinrich Schütze:
Relational and Fine-Grained Argument Mining. Datenbank-Spektrum 20(2): 99-105 (2020) - [j2]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): 525-550 (2020) - [d1]Michael Fromm, Max Berrendorf, Evgheniy Faerman, Thomas Seidl:
Argument Mining Driven Analysis of Peer-Reviews Dataset. Zenodo, 2020
- [i5]Diana Davletshina, Valentyn Melnychuk, Viet Tran, Hitansh Singla, Max Berrendorf, Evgeniy Faerman, Michael Fromm, Matthias Schubert:
Unsupervised Anomaly Detection for X-Ray Images. CoRR abs/2001.10883 (2020) - [i4]Michael Fromm, Max Berrendorf, Sandra Obermeier, Thomas Seidl, Evgeniy Faerman:
Diversity Aware Relevance Learning for Argument Search. CoRR abs/2011.02177 (2020) - [i3]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 abs/2012.07743 (2020)
2010 – 2019
- 2019
- [j1]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): 2585 (2019) - [c3]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: 135-141 - [c2]Michael Fromm, Max Berrendorf, Evgeniy Faerman, Yiyi Chen, Balthasar Schüss, Matthias Schubert:
XD-STOD: Cross-Domain Superresolution for Tiny Object Detection. ICDM Workshops 2019: 142-148 - [c1]Michael Fromm, Evgeniy Faerman, Thomas Seidl:
TACAM: Topic And Context Aware Argument Mining. WI 2019: 99-106 - [i2]Michael Fromm, Evgeniy Faerman, Thomas Seidl:
TACAM: Topic And Context Aware Argument Mining. CoRR abs/1906.00923 (2019) - [i1]Tobias Weber, Dieter Kranzlmüller, Michael Fromm, Nelson Tavares de Sousa:
Using Supervised Learning to Classify Metadata of Research Data by Discipline of Research. CoRR abs/1910.09313 (2019)
Coauthor Index
aka: Evgeniy Faerman
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