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Katharina Kann

Katharina Kann has 4 papers in our library, in 2020–2021, most of them on Language models & pretraining, Multilingual & cross-lingual NLP, Evaluation & benchmarks; often with Clara Vania, Haokun Liu, Jason Phang.

4 papers in our library · 2020–2021

OpenAlex · ORCID · Wikidata · h-index 23 · 93 works · 2,387 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 476 citations in our library · 2 more in our library without a page yet · ⭐ Paper Star rank #3332

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 Colorado BoulderBoulder · United States2020–2023 · 42 papersEmployment since 2020🎓New York UniversityNew York · United States2016–2021 · 23 papers🎓Ludwig-Maximilians-Universität MünchenMunich · Germany2016–2019 · 12 papers🎓Johns Hopkins UniversityBaltimore · United States2016–2023 · 7 papers🎓University of EdinburghEdinburgh · United Kingdom2022–2023 · 4 papers🎓Carnegie Mellon UniversityPittsburgh · United States2021–2023 · 3 papers🎓Dartmouth CollegeHanover · United States2021–2023 · 3 papers🎓Universidad Nacional Autónoma de MéxicoMexico City · Mexico2021–2023 · 3 papers🎓Universidad de la República de UruguayMontevideo · Uruguay2021–2023 · 3 papers🎓University of British ColumbiaVancouver · Canada2021–2023 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 16 more institutions 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 4 Artificial Intelligence · 4 works Arts and Humanities · 4 works Computer Science · 4 works Language and Linguistics · 4 works

🧭 Topics 4 Language models & pretraining · 3 works Multilingual & cross-lingual NLP · 2 works Evaluation & benchmarks · 1 work English · 1 work

 Works by year

2020s

20212 papers20202 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work? (2020 · 281 citations)
    Training a pretrained encoder on a large auxiliary dataset before fine-tuning it on the final task (the STILTs approach) sometimes improves results and sometimes does not, and the reasons are poorly understood.
  2. How to Adapt Your Pretrained Multilingual Model to 1600 Languages (2021 · 86 citations)
    Techniques for extending pretrained multilingual models (PMMs) to languages they never saw in pretraining are usually tested with large Wikipedia or Common Crawl corpora.
  3. CLiMP: A Benchmark for Chinese Language Model Evaluation (2021 · 73 citations)
    Most suites for testing the grammatical knowledge of language models are built for English. Earlier non-English work mostly checks subject–verb agreement, which Mandarin does not have. The authors address this gap with CLiMP, a collection of Mandarin minimal pairs. Each pair contains a grammatical and an…
  4. English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too (2020 · 70 citations)
    Multilingual pretrained encoders are typically fine-tuned on English task data and then applied to other languages without target-language labels.

Also in our library

2 more works of theirs are in our library without a page here yet; they will appear as we publish them.

 Co-authors here

12 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 476 times (of the 141,840 papers whose bibliographies we read); 47 citing papers with a page here →.

Updated

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