--- title: "Simeon Schüz · Bielefeld University — author profile and papers" description: "Simeon Schüz, Bielefeld University: 2 papers on Elamur Research (2021), h-index 3 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/simeon-schuz/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/simeon-schuz/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Simeon Schüz # Simeon Schüz Simeon Schüz has 2 papers in our library, in 2021, most of them on [Text generation](https://md.research.elamur.ai/free/en/topics/text-generation/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Sina Zarrieß](https://md.research.elamur.ai/free/en/authors/sina-zarriess/), [Hendrik Buschmeier](https://md.research.elamur.ai/free/en/authors/hendrik-buschmeier/). 2 papers in our library · 2021 [OpenAlex](https://openalex.org/A5108763250) · [**h-index 3**](https://openalex.org/authors/A5108763250) · [8 works](https://openalex.org/works?filter=author.id:A5108763250) · [39 citations](https://openalex.org/works?filter=author.id:A5108763250&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/simeon-schuz/#papers) · 🔗 Cited 6 times in our library · [⭐ Paper Stars ranking: #5942](https://md.research.elamur.ai/free/en/paper-stars/page/60/#star-5942) 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=Simeon+Sch%C3%BCz) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Simeon+Sch%C3%BCz) · [dblp](https://dblp.org/search?q=Simeon+Sch%C3%BCz) · [ACL Anthology](https://aclanthology.org/search/?q=Simeon+Sch%C3%BCz) ## Affiliations [🎓**Bielefeld University** Bielefeld · Germany 2021–2023 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/bielefeld-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Concepts, shelves and topics Of its works in our library: the number of works on each and its rating among them. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[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/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) 🧭 Topics 2 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Text generation · 1 work](https://md.research.elamur.ai/free/en/topics/text-generation/) ## Works by year ### 2020s [**2021** 2 papers Simeon Schüz's papers of 2021](https://md.research.elamur.ai/free/en/authors/simeon-schuz/year/2021/) ## Papers The most cited first (OpenAlex and our library). 1. **[Decoding, Fast and Slow: A Case Study on Balancing Trade-Offs in Incremental, Character-level Pragmatic Reasoning](https://md.research.elamur.ai/free/en/papers/zarriess-2021-decoding-fast-slow-case-study/)** *(2021 · 6 citations)* The paper looks at the cost of pragmatic decoding in neural image captioning. It builds on the character-level Rational Speech Acts (RSA) captioner of Cohn-Gordon et al. (2018). That speaker runs recursive speaker–listener reasoning at every character so its caption singles out a target image among distractors, which… 2. **[Decoupling Pragmatics: Discriminative Decoding for Referring Expression Generation](https://md.research.elamur.ai/free/en/papers/schuz-2021-decoupling-pragmatics-discriminative-decoding-referring/)** *(2021 · 3 citations)* Neural Referring Expression Generation (REG) handles realistic photo scenes, but its pragmatic behaviour is buried inside architectures and training objectives. ## Co-authors here 2 co-authors with a page, the most papers together first. - [Sina Zarrieß](https://md.research.elamur.ai/free/en/authors/sina-zarriess/) ×2 - [Hendrik Buschmeier](https://md.research.elamur.ai/free/en/authors/hendrik-buschmeier/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [International Natural Language Generation Conference (INLG)](https://md.research.elamur.ai/free/en/venues/inlg/): [INLG 2021](https://md.research.elamur.ai/free/en/venues/inlg/2021/) - Proceedings of the Reasoning and Interaction Conference (ReInAct 2021) ## Cited by Papers of our library cite their works 6 times (of the 141,840 papers whose bibliographies we read). Updated 24 October 2026