--- title: "Matthias Assenmacher — author profile and papers in our library" description: "Matthias Assenmacher, Munich Center for Machine Learning: 7 papers on Elamur Research (2024–2026), h-index 8 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/matthias-assenmacher/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/matthias-assenmacher/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Matthias Assenmacher # Matthias Assenmacher Matthias Assenmacher has 7 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Text generation](https://md.research.elamur.ai/free/en/topics/text-generation/); often with [Barbara Plank](https://md.research.elamur.ai/free/en/authors/barbara-plank/), [Tom Zehle](https://md.research.elamur.ai/free/en/authors/tom-zehle/), [Andreas Stephan](https://md.research.elamur.ai/free/en/authors/andreas-stephan/). 7 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5069469652) · [ORCID](https://orcid.org/0000-0003-2154-5774) · [**h-index 8**](https://openalex.org/authors/A5069469652) · [103 works](https://openalex.org/works?filter=author.id:A5069469652) · [222 citations](https://openalex.org/works?filter=author.id:A5069469652&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 7 works in our library](https://md.research.elamur.ai/free/en/authors/matthias-assenmacher/#papers) · [🔗 Cited 31 times in our library](https://md.research.elamur.ai/free/en/authors/matthias-assenmacher/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #9569](https://md.research.elamur.ai/free/en/paper-stars/page/96/#star-9569) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Matthias+Assenmacher) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Matthias+Assenmacher) · [dblp](https://dblp.org/search?q=Matthias+Assenmacher) · [ACL Anthology](https://aclanthology.org/search/?q=Matthias+Assenmacher) ## Affiliations [🎓**Ludwig-Maximilians-Universität München** Munich · Germany 2016–2026 · 72 papersEmployment*current*](https://md.research.elamur.ai/free/en/universities/ludwig-maximilians-universitat-munchen/) · [🎓**Munich Center for Machine Learning** Munich · Germany 2023–2026 · 33 papers*current*](https://md.research.elamur.ai/free/en/universities/munich-center-for-machine-learning/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 7 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 7 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 6 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 6 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 4 Research subjects and languages the work is about.[Text generation · 1 work](https://md.research.elamur.ai/free/en/topics/text-generation/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) ## Works by year ### 2020s [**2026** 4 papers](https://md.research.elamur.ai/free/en/authors/matthias-assenmacher/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/matthias-assenmacher/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/matthias-assenmacher/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Decoding Decoded: Understanding Hyperparameter Effects in Open-Ended Text Generation](https://md.research.elamur.ai/free/en/papers/arias-2025-decoding-decoded-understanding-hyperparameter-effects/)** *(2025 · 12 citations)* LLMs output token probabilities, and the decoding step that turns them into text is often left at default settings even though it strongly shapes output quality. 2. **[Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case Study](https://md.research.elamur.ai/free/en/papers/ma-2025-algorithmic-fidelity-large-language-models/)** *(2025 · 10 citations)* The paper tests whether LLMs show "algorithmic fidelity", meaning whether they can mimic how specific German population groups answer an open-ended survey question. 3. **[More Labels or Cases? Assessing Label Variation in Natural Language Inference](https://md.research.elamur.ai/free/en/papers/gruber-2024-more-labels-or-cases-assessing/)** *(2024 · 8 citations)* The paper argues that summarizing many crowd votes in NLI, either as a majority label or as raw class frequencies, gives an unreliable picture of how uncertain an instance's label really is. 4. **[promptolution: A Unified, Modular Framework for Prompt Optimization](https://md.research.elamur.ai/free/en/papers/zehle-2026-promptolution-unified-modular-framework-prompt/)** *(2026 · 2 citations)* Automatic prompt optimization can substantially boost LLM task performance, but it is hard to adopt. Most optimizers live in isolated, poorly maintained research repositories. Existing libraries are closed-source, implement only one algorithm, or force applications into their own abstractions (as DSPy does). The… 5. **[Can Calibration of Positional Encodings Enhance Long Context Utilization?](https://md.research.elamur.ai/free/en/papers/zehle-2026-can-calibration-positional-encodings-enhance/)** *(2026)* Large language models often fail to use long inputs well. Facts in the middle of a prompt tend to be overlooked (the "Lost in the Middle", LiM, effect), and recent tokens get extra weight (recency bias). The authors ask whether rotary position embeddings (RoPE) contribute to these biases and whether adjusting them… 6. **[Enhancing Retrieval via Cognitively Motivated Document Expansion](https://md.research.elamur.ai/free/en/papers/loss-2026-enhancing-retrieval-cognitively-motivated-document/)** *(2026)* The paper asks whether LLMs can strengthen first-stage document retrieval by rewriting the corpus rather than the query, an approach the authors note has received less attention than query expansion. 7. **[Reinforcement Learning for Latent-Space Thinking in LLMs](https://md.research.elamur.ai/free/en/papers/ozeren-2026-reinforcement-learning-latent-space-thinking/)** *(2026)* The paper asks whether reinforcement learning can improve LLMs that "think" in continuous hidden states instead of writing out discrete chain-of-thought tokens. ## All works 9 works of theirs in our library, the most cited first; 7 with a page here, the others link their original until we summarise them. 1. **[Decoding Decoded: Understanding Hyperparameter Effects in Open-Ended Text Generation](https://md.research.elamur.ai/free/en/papers/arias-2025-decoding-decoded-understanding-hyperparameter-effects/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Esteban Garces Arias, Meimingwei Li, Christian Heumann, et al.*2025 · 12 citations* 2. **[Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case Study](https://md.research.elamur.ai/free/en/papers/ma-2025-algorithmic-fidelity-large-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bolei Ma, Berk Yoztyurk, Anna-Carolina Haensch, et al.*2025 · 10 citations* 3. **[More Labels or Cases? Assessing Label Variation in Natural Language Inference](https://md.research.elamur.ai/free/en/papers/gruber-2024-more-labels-or-cases-assessing/) [Workshop on Understanding Implicit and Underspecified Language](https://md.research.elamur.ai/free/en/venues/unimplicit/)**Cornelia Gruber, Katharina Hechinger, Matthias Assenmacher, et al.*2024 · 8 citations* 4. **[taz2024full: Analysing German Newspapers for Gender Bias and Discrimination across Decades ↗](https://aclanthology.org/2025.findings-acl.555/) Findings of the Association for Computational Linguistics: ACL 2025 · no summary yet**Stefanie Urchs et al.*2025 · 3 citations* 5. **[promptolution: A Unified, Modular Framework for Prompt Optimization](https://md.research.elamur.ai/free/en/papers/zehle-2026-promptolution-unified-modular-framework-prompt/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Tom Zehle, Timo Heiß, Moritz Schlager, et al.*2026 · 2 citations* 6. **[Can Calibration of Positional Encodings Enhance Long Context Utilization?](https://md.research.elamur.ai/free/en/papers/zehle-2026-can-calibration-positional-encodings-enhance/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tom Zehle, Matthias Aßenmacher*2026* 7. **[Enhancing Retrieval via Cognitively Motivated Document Expansion](https://md.research.elamur.ai/free/en/papers/loss-2026-enhancing-retrieval-cognitively-motivated-document/) [Edition of the Swiss Text Analytics Conference](https://md.research.elamur.ai/free/en/venues/swisstext/)**Giacomo Loss, Andreas Stephan, Matthias Assenmacher*2026* 8. **[Reinforcement Learning for Latent-Space Thinking in LLMs](https://md.research.elamur.ai/free/en/papers/ozeren-2026-reinforcement-learning-latent-space-thinking/) [Edition of the Swiss Text Analytics Conference](https://md.research.elamur.ai/free/en/venues/swisstext/)**Enes Özeren, Matthias Assenmacher*2026* 9. **[Lost in Translation? Exploring the Shift in Grammatical Gender from Latin to Occitan ↗](https://aclanthology.org/2026.nlp4dh-1.26/) Proceedings of the 6th International Conference on Natural Language Processing for the Digital Humanities · no summary yet**Ahan Chatterjee et al.*2026* ## Co-authors here 9 co-authors with a page, the most papers together first. - [Barbara Plank](https://md.research.elamur.ai/free/en/authors/barbara-plank/) ×2 - [Tom Zehle](https://md.research.elamur.ai/free/en/authors/tom-zehle/) ×2 - [Andreas Stephan](https://md.research.elamur.ai/free/en/authors/andreas-stephan/) - [Anna-Carolina Haensch](https://md.research.elamur.ai/free/en/authors/anna-carolina-haensch/) - [Bolei Ma](https://md.research.elamur.ai/free/en/authors/bolei-ma/) - [Christian Heumann](https://md.research.elamur.ai/free/en/authors/christian-heumann/) - [Esteban Garces Arias](https://md.research.elamur.ai/free/en/authors/esteban-garces-arias/) - [Frauke Kreuter](https://md.research.elamur.ai/free/en/authors/frauke-kreuter/) - [Xinpeng Wang](https://md.research.elamur.ai/free/en/authors/xinpeng-wang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Edition of the Swiss Text Analytics Conference](https://md.research.elamur.ai/free/en/venues/swisstext/) ×2: [Edition of the Swiss Text Analytics Conference 2026](https://md.research.elamur.ai/free/en/venues/swisstext/2026/) ×2 - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) - [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/): [COLING 2025](https://md.research.elamur.ai/free/en/venues/coling/2025/) - [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/2026/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) - [Workshop on Understanding Implicit and Underspecified Language](https://md.research.elamur.ai/free/en/venues/unimplicit/): [Workshop on Understanding Implicit and Underspecified Language 2024](https://md.research.elamur.ai/free/en/venues/unimplicit/2024/) - Findings of the Association for Computational Linguistics: ACL 2025 - Proceedings of the 6th International Conference on Natural Language Processing for the Digital Humanities ## Cited by Papers of our library cite their works 31 times (of the 149,439 papers whose bibliographies we read); [11 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/matthias-assenmacher/cited-by/). Updated 2 November 2026