Elamur Research⌕
☰
home / authors / Thomas Müller

Thomas Müller

Thomas Müller has 4 papers in our library, in 2015–2021, most of them on Language models & pretraining, Question answering, Morphology; often with Julian Eisenschlos, Jonathan Herzig, Syrine Krichene.

4 papers in our library · 2015–2021

OpenAlex · ORCID · Wikidata · h-index 10 · 23 works · 1,075 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 487 times in our library · ⭐ Paper Stars ranking: #1797

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

🎓Universitat de BarcelonaBarcelona · Spain2025 · 1 papercurrent🏢GoogleMountain View · United States2019–2021 · 8 papers🎓Ludwig-Maximilians-Universität MünchenMunich · Germany2015 · 5 papers🏢GoogleZurich · Switzerland2020–2021 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 4 worksComputer Science · 4 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 4 worksComputer Vision and Pattern Recognition · 3 worksInformation Systems · 1 work

🧭 Topics 5Research subjects and languages the work is about.Language models & pretraining · 2 worksSemantic parsing & meaning representation · 1 workMorphology · 1 workInformation retrieval & search · 1 workQuestion answering · 1 work

 Works by year

2020s

20211 paperOpen Domain Question Answering over Tables via Dense Retrieval20202 papersThomas Müller's papers of 2020

2010s

20151 paperJoint Lemmatization and Morphological Tagging with Lemming

 Papers

The most cited first (OpenAlex and our library).

  1. TaPas: Weakly Supervised Table Parsing via Pre-training (2020 · 845 citations)
    Answering questions over tables is usually treated as semantic parsing: the question is converted into an executable logical form.
  2. Joint Lemmatization and Morphological Tagging with Lemming (2015 · 180 citations)
    Lemmatizing a token and predicting its POS and morphological attributes depend on each other. Tags often resolve which lemma is correct. In the other direction, knowing the lemma helps resolve syncretic forms, such as gender on German plural nouns. Most systems still run these steps as a pipeline, and earlier…
  3. Understanding tables with intermediate pre-training (2020 · 158 citations)
    Table entailment means deciding whether a sentence is supported or contradicted by a table. It requires understanding language and table layout together, plus numeric and discrete operations such as comparisons and aggregations. On TabFact, models still trail humans by a wide margin. The authors convert TAPAS, a…
  4. Open Domain Question Answering over Tables via Dense Retrieval (2021 · 133 citations)
    Most table QA systems assume the correct table is already provided. Real search engines and assistants, however, must first locate the relevant table in a large collection. This paper is the first to address open-domain QA over tables. It uses a two-stage pipeline: a dense retriever picks candidate tables, and a…

 Co-authors here

8 co-authors 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 487 times (of the 141,840 papers whose bibliographies we read); 31 citing papers with a page here →.

Updated

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