Matthias Aßenmacher
About
I am a postdoctoral researcher at the Chair of Statistical Learning and Data Science (SLDS, Dept. of Statistics, LMU) and the NFDI Consortium for Business, Economic and Related Data (BERD@NFDI). I obtained my bachelor’s degree in Economics from LMU in 2014, and my Master’s degree in Statistics (with a focus on social and economic studies) in 2017 (also from LMU). In 2021 I finished my PhD under the supervision of Prof. Dr. Christian Heumann with a focus on Natural Language Processing, before joining SLDS in early 2022. I lead the Natural Language Processing focus group at SLDS and I am part of the Causal and Fair Machine Learning focus group. Further, I am one of the main maintainers of the course Deep Learning for NLP that is jointly developed at LMU Munich and the University of Vienna.
Contact
Department of Statistics, LMU Munich
Ludwigstraße 33, D-80539 München
matthias [at] stat [dot] uni [minus] muenchen [dot] de
Teaching
- Summer 25
- Winter 2024/25
Past (since Winter 21/22):
- Deep Learning for NLP: Winter 23/24, Winter 22/23, Winter 21/22
- Statistics I for Economists: Winter 23/24, Winter 22/23
- Statistics II for Economists: Summer 24
- Introduction to Python: Summer 23, Summer 22
- Seminars: Multimodal Deep Learning (Winter 21/22)
- Earlier courses, can be found here
Research Interests
My main research interest is NLP; For more details see the NLP focus group page.
Thesis supervision
I supervise theses on various NLP-related topics. Please read the information on our focus group page before e-mailing me.
Supervised Theses/Projects (since 01/2022)
| Title | Type | Completed |
|---|---|---|
| Combining Large Language Models and Topic Clustering for Metadata-enriched Temporal Evolution Path Detection | MA | 2025 |
| Comparing Metrics for the Evaluation of Decoding Strategies on Text Summarization Tasks | BA | 2025 |
| Guided Topic Modeling for Customer Feedback Analysis: Incorporating Prior Information and Document-specific Covariates | MA | 2025 |
| Enhancing Information Retrieval Via Cognitively Motivated Document Expansion | MA | 2024 |
| Übersicht über zertifizierte industrielle KI-Produkte | Consulting | 2024 |
| Clustering Embeddings from Large Language Models for Retrospective Event Detection | MA | 2024 |
| Synthetic Opinions: Utilizing Large Language Models for Generating Responses to Open-Ended Survey Questions | MA | 2024 |
| Text-based geographical assignment of tweets | Consulting | 2024 |
| Exploring Hyperparameter Selection Strategies for Topic Clustering with Large Language Models | MA | 2024 |
| Exploring Strategies for Informed Initial Pool Selection in Deep Active Learning with Pre-Trained Language Models | MA | 2024 |
| NLP in Insurance: Leveraging Language Models to Automatize Disease Classification | Consulting | 2024 |
| Automatic transcription of handwritten Franconian using Deep Learning | MA | 2024 |
| Advanced Knowledge Editing in Large Language Models | MA | 2023 |
| Robust, Explainable, and Unbiased Text Classification of Insurance Claims | MA | 2023 |
| Topic Classification of News Headlines | Consulting | 2023 |
| Integrating Domain Knowledge into Transformer-based Approaches to Vulnerability Detection | MA | 2023 |
| Transformer-Based Language Models for Multiple Choice Question Answering | BA | 2023 |
| Interslavic Natural Language Processing | MA | 2023 |
| A Comparative Study of Large Language Models for Text-to-Code Generation | BA | 2023 |
| ICON: ICD-10 Coding using Natural Language Processing | MA | 2023 |
| Quantization in Large Language Models | MA | 2023 |
| Natural Language Processing for Systematic Literature Reviews: An Application to Immersive Design Research | Consulting | 2023 |
| Digitizing Handwritten Old Occitan Cards using Vision and Language Models | MA | 2023 |
| Enhancing stance prediction by utilizing party manifestos | MA | 2023 |
| A tailored OCR-System for the Medieval Latin Dictionary for the Bavarian Academy of Sciences and Humanities | Consulting | 2023 |
| Application of neural topic models to Twitter data from German politicians | BA | 2023 |
| Examining and Mitigating Gender Bias in German Word Embeddings | BA | 2023 |
| Domain transfer across country, time, and modality in multiclass classification | BA | 2022 |
| How Different is Stereotypical Bias in Different Languages? Analysis of Multilingual Language Models | MA | 2022 |
| Predicted Sentiments of Customer Texts as Covariates for Time Series Forecasting | MA | 2022 |
| A Comparative Evaluation of the Utility of linguistic Features for Part-of-Speech-Tagging | BA | 2022 |
| Evaluating pre-trained language models on partially unlabeled multilingual economic corpora | MA | 2022 |
| Leveraging pairwise constraints for topic discovery in weakly annotated text data | MA | 2022 |
| Word Embedding Evaluation with Intrinsic Evaluators | MA | 2022 |
You Can Find me on
References
- Garces Arias E, Rodemann J, Li M, Heumann C, Aßenmacher M (2024) Adaptive Contrastive Search: Uncertainty-Guided Decoding for Open-Ended Text Generation Findings of the Association for Computational Linguistics: EMNLP 2024, pp. 15060–15080. Association for Computational Linguistics, Miami, Florida, USA.
link|pdf. - Garces Arias E, Blocher H, Rodemann J, Li M, Heumann C, Aßenmacher M (2024) Towards Better Open-Ended Text Generation: A Multicriteria Evaluation Framework.
link|pdf. - Aßenmacher M, Karrlein L, Schiele P, Heumann C (2024) Introducing wwm-german-18k - Can LLMs Crack the Million? (Or Win at Least 500 Euros?) Proceedings of the 7th International Conference on Natural Language and Speech Processing (ICNLSP 2024), pp. 287–296. Association for Computational Linguistics, Trento.
link|pdf. - Garces Arias E, Li M, Heumann C, Aßenmacher M (2024) Decoding Decoded: Understanding Hyperparameter Effects in Open-Ended Text Generation Accepted at COLING 2025,
link|pdf. - Wuttke A, Aßenmacher M, Klamm C, Lang MM, Würschinger Q, Kreuter F (2024) AI Conversational Interviewing: Transforming Surveys with LLMs as Adaptive Interviewers.
link|pdf. - Stephan A, Zhu D, Aßenmacher M, Shen X, Roth B (2024) From Calculation to Adjudication: Examining LLM judges on Mathematical Reasoning Tasks.
link|pdf. - Urchs S, Thurner V, Aßenmacher M, Heumann C, Thiemichen S (2024) Detecting Gender Discrimination on Actor Level Using Linguistic Discourse Analysis Proceedings of the 5th Workshop on Gender Bias in Natural Language Processing (GeBNLP), pp. 140–149. Association for Computational Linguistics, Bangkok, Thailand.
link|pdf. - Aßenmacher M, Stephan A, Weissweiler L, Çano E, Ziegler I, Härttrich M, Bischl B, Roth B, Heumann C, Schütze H (2024) Collaborative Development of Modular Open Source Educational Resources for Natural Language Processing Proceedings of the Sixth Workshop on Teaching NLP, pp. 43–53. Association for Computational Linguistics, Bangkok, Thailand.
link|pdf. - Mittermeier A, Aßenmacher M, Schachtner B, Grosu S, Dakovic V, Kandratovich V, Sabel B, Ingrisch M (2024) Automatische ICD-10-Codierung. Die Radiologie, 1–7.
link. - Deiseroth B, Meuer M, Gritsch N, Eichenberg C, Schramowski P, Aßenmacher M, Kersting K (2024) Divergent Token Metrics: Measuring degradation to prune away LLM components – and optimize quantization Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), pp. 6764–6783. Association for Computational Linguistics, Mexico City, Mexico.
link|pdf. - Mayer L, Heumann C, Aßenmacher M (2024) Can OpenSource beat ChatGPT? - A Comparative Study of Large Language Models for Text-to-Code Generation. Accepted at the Swiss Text Analytics Conference 2024.
link|pdf. - Aßenmacher M, Sauter N, Heumann C (2024) Classifying multilingual party manifestos: Domain transfer across country, time, and genre. Accepted at the Swiss Text Analytics Conference 2024.
link|pdf. - Debelak R, Koch T, Aßenmacher M, Stachl C (2024) From Embeddings to Explainability: A Tutorial on Transformer-Based Text Analysis for Social and Behavioral Scientists.
link. - Solderer A, Hicklin S, Aßenmacher M, Ender A, Schmidlin P (2024) Influence of an allogenic collagen scaffold on implant sites with thin supracrestal tissue height: a randomized clinical trial. Clinical Oral Investigations, 28, 313.
link|pdf. - Gruber C, Hechinger K, Aßenmacher M, Kauermann G, Plank B (2024) More Labels or Cases? Assessing Label Variation in Natural Language Inference Proceedings of the Third Workshop on Understanding Implicit and Underspecified Language, pp. 22–32. Association for Computational Linguistics, Malta.
link|pdf. - Garces Arias E, Pai V, Schöffel M, Heumann C, Aßenmacher M (2023) Automatic Transcription of Handwritten Old Occitan Language Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pp. 15416–15439. Association for Computational Linguistics, Singapore.
link|pdf. - Schulze P, Wiegrebe S, Thurner PW, Heumann C, Aßenmacher M (2023) A Bayesian approach to modeling topic-metadata relationships. AStA Advances in Statistical Analysis 108, 333–349.
link. - Koch P, Nuñez GV, Garces Arias E, Heumann C, Schöffel M, Häberlin A, Aßenmacher M (2023) A tailored Handwritten-Text-Recognition System for Medieval Latin Proceedings of the Ancient Language Processing Workshop, pp. 103–110. INCOMA Ltd., Shoumen, Bulgaria, Varna, Bulgaria.
link|pdf. - Aßenmacher M, Rauch L, Goschenhofer J, Stephan A, Bischl B, Roth B, Sick B (2023) Towards Enhancing Deep Active Learning with Weak Supervision and Constrained Clustering Proceedings of the 7th Workshop on Interactive Adaptive Learning (co-located with ECML-PKDD 2023),
link|pdf. - Urchs S, Thurner V, Aßenmacher M, Heumann C, Thiemichen S (2023) How Prevalent is Gender Bias in ChatGPT? - Exploring German and English ChatGPT Responses 1st Workshop on Biased Data in Conversational Agents (co-located with ECML-PKDD 2023),
link|pdf. - Öztürk IT, Nedelchev R, Heumann C, Garces Arias E, Roger M, Bischl B, Aßenmacher M (2023) How Different Is Stereotypical Bias Across Languages? 3rd Workshop on Bias and Fairness in AI (co-located with ECML-PKDD 2023),
link|pdf. - Rauch L, Aßenmacher M, Huseljic D, Wirth M, Bischl B, Sick B (2023) ActiveGLAE: A Benchmark for Deep Active Learning with Transformers Machine Learning and Knowledge Discovery in Databases: Research Track. ECML PKDD 2023,
link|pdf. - Witte M, Schwenzow J, Heitmann M, Reisenbichler M, Aßenmacher M (2023) Potential for Decision Aids based on Natural Language Processing Proceedings of the European Marketing Academy, 52nd, (114322),
link|pdf. - Vogel M, Aßenmacher M, Gubler A, Attin T, Schmidlin PR (2023) Cleaning potential of interdental brushes around orthodontic brackets-an in vitro investigation. Swiss Dental Journal 133.
link|pdf. - Akkus C, Chu L, Djakovic V, Jauch-Walser S, Koch P, Loss G, Marquardt C, Moldovan M, Sauter N, Schneider M, Schulte R, Urbanczyk K, Goschenhofer J, Heumann C, Hvingelby R, Schalk D, Aßenmacher M (2023) Multimodal Deep Learning. arXiv preprint arXiv:2301.04856.
link|pdf. - Goschenhofer J, Ragupathy P, Heumann C, Bischl B, Aßenmacher M (2022) CC-Top: Constrained Clustering for Dynamic Topic Discovery Proceedings of the The First Workshop on Ever Evolving NLP (EvoNLP), pp. 26–34. Association for Computational Linguistics, Abu Dhabi, United Arab Emirates (Hybrid).
link|pdf. - Lebmeier E, Aßenmacher M, Heumann C (2022) On the current state of reproducibility and reporting of uncertainty for Aspect-based Sentiment Analysis Machine Learning and Knowledge Discovery in Databases (ECML-PKDD), Springer International Publishing, Grenoble, France.
link|pdf. - Aßenmacher M, Dietrich M, Elmaklizi A, Hemauer EM, Wagenknecht N (2022) Whitepaper: New Tools for Old Problems.
link. - Koch P, Aßenmacher M, Heumann C (2022) Pre-trained language models evaluating themselves - A comparative study Proceedings of the Third Workshop on Insights from Negative Results in NLP, pp. 180–187. Association for Computational Linguistics, Dublin, Ireland.
link|pdf. - Aßenmacher M, Schulze P, Heumann C (2021) Benchmarking down-scaled (not so large) pre-trained language models Proceedings of the 17th Conference on Natural Language Processing (KONVENS 2021), pp. 14–27. KONVENS 2021 Organizers, Düsseldorf, Germany.
link|pdf. - Aßenmacher M, Corvonato A, Heumann C (2021) Re-Evaluating GermEval17 Using German Pre-Trained Language Models Proceedings of the Swiss Text Analytics Conference 2021, CEUR Workshop Proceedings, Winterthur, Switzerland (Online).
link|pdf. - Schulze P, Wiegrebe S, Thurner PW, Heumann C, Aßenmacher M, Wankmüller S (2021) Exploring Topic-Metadata Relationships with the STM: A Bayesian Approach. arXiv preprint arXiv:2104.02496.
link|pdf. - Lebmeier E, Hou N, Spann K, Aßenmacher M (2021) Creating a Customer Centricity Graph from unstructured customer feedback. Applied Marketing Analytics 6, 221–229.
link|pdf. - Meidinger M, Aßenmacher M (2021) A New Benchmark for NLP in Social Sciences: Evaluating the Usefulness of Pre-trained Language Models for Classifying Open-ended Survey Responses Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, pp. 866–873. SciTePress.
link|pdf. - Schiergens TS, Drefs M, Dörsch M, Kühn F, Albertsmeier M, Niess H, Schoenberg MB, Assenmacher M, Küchenhoff H, Thasler WE, others (2021) Prognostic Impact of Pedicle Clamping during Liver Resection for Colorectal Metastases. Cancers 13, 72.
link|pdf. - Guderlei M, Aßenmacher M (2020) Evaluating Unsupervised Representation Learning for Detecting Stances of Fake News Proceedings of the 28th International Conference on Computational Linguistics, pp. 6339–6349. International Committee on Computational Linguistics, Barcelona, Spain (Online).
link|pdf. - Viellieber VD, Aßenmacher M (2020) Pre-trained language models as knowledge bases for Automotive Complaint Analysis. arXiv preprint arXiv:2012.02558.
link|pdf. - Aßenmacher M, Heumann C (2020) On the comparability of pre-trained language models Proceedings of the 5th Swiss Text Analytics Conference and 16th Conference on Natural Language Processing, CEUR Workshop Proceedings, Zurich, Switzerland (Online).
link|pdf. - Aßenmacher M, Kaiser JC, Zaballa I, Gasparrini A, Küchenhoff H (2019) Exposure-lag-response associations between lung cancer mortality and radon exposure in German uranium miners. Radiation and Environmental Biophysics.
link|pdf. - Sint A, Lutz R, Assenmacher M, Küchenhoff H, Kühn F, Faist E, Bazhin AV, Rentsch M, Werner J, Schiergens TS (2019) Monocytic HLA-DR expression for prediction of anastomotic leak after colorectal surgery. Journal of the American College of Surgeons 229, 200–209.
link. - Deffner V, Kreuzer M, Sobotzki C, Aßenmacher M, Güthlin D, Kaiser C, Küchenhoff H, Fenske N (2019) Uncertainties in radiation exposure assessment in the Wismut cohort: a preliminary evaluation BIO Web of Conferences, p. 03009. EDP Sciences.
link|pdf. - Küchenhoff H, Deffner V, Aßenmacher M, Neppl H, Kaiser C, Güthlin D, others (2018) Ermittlung der Unsicherheiten der Strahlenexpositionsabschätzung in der Wismut-Kohorte-Teil I-Vorhaben 3616S12223.
link|pdf. - Brandl C, Breinlich V, Stark KJ, Enzinger S, Aßenmacher M, Olden M, Grassmann F, Graw J, Heier M, Peters A, others (2016) Features of age-related macular degeneration in the general adults and their dependency on age, sex, and smoking: results from the German KORA study. PloS one 11, e0167181.
link|pdf.