--- title: "Tom Zehle · University of Freiburg — author profile and papers" description: "Tom Zehle, University of Freiburg: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them in our…" canonical: "https://research.elamur.ai/free/en/authors/tom-zehle/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/tom-zehle/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Tom Zehle # Tom Zehle Tom Zehle has 2 papers in our library, in 2026; often with [Matthias Aßenmacher](https://md.research.elamur.ai/free/en/authors/matthias-assenmacher/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5119949048) · [**h-index 0**](https://openalex.org/authors/A5119949048) · [10 works](https://openalex.org/works?filter=author.id:A5119949048) · [0 citations](https://openalex.org/works?filter=author.id:A5119949048&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/tom-zehle/#papers) · 🔗 Cited 2 times in our library · [⭐ Paper Stars ranking: #12627](https://md.research.elamur.ai/free/en/paper-stars/page/127/#star-12627) 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=Tom+Zehle) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Tom+Zehle) · [dblp](https://dblp.org/search?q=Tom+Zehle) · [ACL Anthology](https://aclanthology.org/search/?q=Tom+Zehle) ## Affiliations [🎓**University of Freiburg** Freiburg im Breisgau · Germany 2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-freiburg/) · [🔬**ELLIS Institute Tübingen** Tübingen · Germany 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/labs/ellis-institute-tubingen/) · [🎓**Ludwig-Maximilians-Universität München** Munich · Germany 2025–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/ludwig-maximilians-universitat-munchen/) · [🏥**LMU Klinikum** Munich · Germany 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/hospitals/lmu-klinikum/) · [🎓**Munich Center for Machine Learning** Munich · Germany 2026 · 1 paper*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 · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/tom-zehle/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[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… 2. **[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… ## Co-authors here 1 co-author with a page, the most papers together first. - [Matthias Aßenmacher](https://md.research.elamur.ai/free/en/authors/matthias-assenmacher/) ×2 ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [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/) ## Cited by Papers of our library cite their works 2 times (of the 149,439 papers whose bibliographies we read). Updated 2 November 2026