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Stefan Ultes

Stefan Ultes has 2 papers in our library, in 2022–2026, most of them on Dialogue systems; often with Wolfgang Minker.

2 papers in our library · 2022–2026

OpenAlex · ORCID · Wikidata · h-index 22 · 136 works · 3,557 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 54 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #5915

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓University of BambergBamberg · Germany2022–2026 · 18 paperscurrent🎓University of CambridgeCambridge · United Kingdom2016–2020 · 44 papers🎓Universität UlmUlm · Germany2011–2023 · 33 papers🏢Mercedes-BenzStuttgart · Germany2020–2022 · 15 papers🏢DaimlerStuttgart · Germany2019–2020 · 3 papers

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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 1Research subjects and languages the work is about.Dialogue systems · 2 works

 Works by year

2020s

20261 paperMUDiC: A Dataset for Multi-User Dialogue and Collaboration in Chatbot Interaction20221 paperWhen to Say What and How: Adapting the Elaborateness and Indirectness of Spoken Dialogue Systems

 Papers

The most cited first (OpenAlex and our library).

  1. When to Say What and How: Adapting the Elaborateness and Indirectness of Spoken Dialogue Systems (2022 · 10 citations)
    Commercial voice assistants decide what content to deliver but mostly ignore how it is phrased, even though people in conversation tend to converge on each other's manner of speaking.
  2. MUDiC: A Dataset for Multi-User Dialogue and Collaboration in Chatbot Interaction (2026)
    Most dialogue corpora record one person talking to a chatbot. Many real tasks, however, involve several people coordinating through a single system, and the shortage of authentic group data has slowed progress on such agents. The authors address this gap with MUDiC, a corpus of real conversations rather than…

All works

5 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Continuously Learning Neural Dialogue ManagementarXiv:1606.02689 · original ↗ · no summary yetPei-Hao Su et al.2016 · 137 citations
  2. When to Say What and How: Adapting the Elaborateness and Indirectness of Spoken Dialogue SystemsDialogue & DiscourseJuliana Miehle, Wolfgang Minker, Stefan Ultes2022 · 10 citations
  3. Comparative Study of Sentence Embeddings for Contextual ParaphrasingProceedings of the Twelfth Language Resources and Evaluation Conference · original ↗ · no summary yetLouisa Pragst, Wolfgang Minker, Stefan Ultes2020 · 6 citations
  4. Graph-to-Text Approach to Knowledge-Grounded Response Generation in Human–Robot InteractionDialogue Discourse Volume 16 · original ↗ · no summary yetNicholas Thomas Walker, Stefan Ultes, Pierre Lison2025 · 2 citations
  5. MUDiC: A Dataset for Multi-User Dialogue and Collaboration in Chatbot InteractionLanguage Resources and Evaluation Conference (LREC)Nicolas Wagner, Cristina Luna Jimenez, Elisabeth Andre, et al.2026

 Co-authors here

1 co-author with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 54 times (of the 141,840 papers whose bibliographies we read); 6 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/stefan-ultes/