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Georg Groh

Georg Groh has 2 papers in our library, in 2020–2023, most of them on Language models & pretraining; often with Daryna Dementieva.

2 papers in our library · 2020–2023

OpenAlex · ORCID · Wikidata · h-index 22 · 175 works · 8,827 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 308 times in our library · 4 more in our library without a page yet · ⭐ Paper Stars ranking: #346

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

🎓Technical University of MunichMunich · Germany2002–2026 · 140 paperscurrent

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 8The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksMedicine · 1 workArtificial Intelligence · 2 worksEducation · 1 workHealth Informatics · 1 workInformation Systems · 1 workSafety Research · 1 workSocial Sciences · 1 work

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Language model · 1 work

 Works by year

2020s

20231 paperChatGPT for Good? On Opportunities and Challenges of Large Language Models for Education20201 paperIdentifying and Measuring Annotator Bias Based on Annotators' Demographic Characteristics

 Papers

The most cited first (OpenAlex and our library).

  1. ChatGPT for Good? On Opportunities and Challenges of Large Language Models for Education (2023 · 7,436 citations)
    This position paper asks how large language models such as GPT-3 and ChatGPT could change education and what risks come with them.
  2. Identifying and Measuring Annotator Bias Based on Annotators' Demographic Characteristics (2020 · 144 citations)
    The paper asks whether the demographic profile of crowd annotators (gender, first language, age, education) leaves a measurable imprint on abusive-language labels and on the models trained from them.

All works

6 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. ChatGPT for Good? On Opportunities and Challenges of Large Language Models for EducationEnkelejda Kasneci, Kathrin Seßler, Stefan Küchemann, et al.Research library · 7,436 citations
  2. Identifying and Measuring Annotator Bias Based on Annotators' Demographic CharacteristicsHala Al Kuwatly, Maximilian Wich, Georg GrohProceedings of the Fourth Workshop on Online… · 144 citations
  3. Language Models for German Text Simplification: Overcoming Parallel Data Scarcity through Style-specific Pre-training · original ↗ · no summary yet · Findings of the Association for Computational Linguistics: ACL 2023Miriam Anschütz et al.2023 · 35 citations
  4. Introducing an Abusive Language Classification Framework for Telegram to Investigate the German Hater Community · original ↗ · no summary yet · arXiv:2109.07346Maximilian Wich et al.2021 · 16 citations
  5. German Abusive Language Dataset with Focus on COVID-19 · original ↗ · no summary yet · Proceedings of the 17th Conference on Natural Language Processing (KONVENS 2021)Maximilian Wich, Svenja Räther, Georg Groh2021 · 4 citations
  6. Estimating Grammar Correctness for a Priori Estimation of Machine Translation Post-Editing Effort · original ↗ · no summary yet · Proceedings of the EACL 2014 Workshop on Humans and Computer-assisted…Nicholas H. Kirk, Guchun Zhang, Georg Groh2014

 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 308 times (of the 141,840 papers whose bibliographies we read); 22 citing papers with a page here →.

Updated

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