---
title: "Markus Bayer — author profile and papers — Elamur Research"
description: "Markus Bayer, Technische Universität Darmstadt: 2 papers on Elamur Research (2025–2026), h-index 9 — affiliations, topics, co-authors and…"
canonical: "https://research.elamur.ai/free/en/authors/markus-bayer/"
---
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# Markus Bayer

Markus Bayer has 2 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Christian Reuter](https://md.research.elamur.ai/free/en/authors/christian-reuter/).

2 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5014971621) · [ORCID](https://orcid.org/0000-0002-2040-5609) · [**h-index 9**](https://openalex.org/authors/A5014971621) · [36 works](https://openalex.org/works?filter=author.id:A5014971621) · [902 citations](https://openalex.org/works?filter=author.id:A5014971621&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/markus-bayer/#papers) · [🔗 Cited 10 times in our library](https://md.research.elamur.ai/free/en/authors/markus-bayer/cited-by/) · [⭐ Paper Stars ranking: #9093](https://md.research.elamur.ai/free/en/paper-stars/page/91/#star-9093)

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=Markus+Bayer) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Markus+Bayer) · [dblp](https://dblp.org/search?q=Markus+Bayer) · [ACL Anthology](https://aclanthology.org/search/?q=Markus+Bayer)

## Affiliations

[🎓**Technische Universität Darmstadt** Darmstadt · Germany 2019–2026 · 29 papers*current*](https://md.research.elamur.ai/free/en/universities/technische-universitat-darmstadt/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 4 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [English · 1 work](https://md.research.elamur.ai/free/en/topics/english/) · [Sentiment & emotion · 1 work](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/markus-bayer/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/markus-bayer/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[ActiveLLM: Large Language Model-Based Active Learning for Textual Few-Shot Scenarios](https://md.research.elamur.ai/free/en/papers/bayer-2026-activellm-large-language-model-based/)** *(2026 · 16 citations)* Active learning (AL) tries to reduce annotation cost by choosing the examples that are most useful to label.
2. **[A Survey of Machine Learning Models and Datasets for the Multi-label Classification of Textual Hate Speech in English](https://md.research.elamur.ai/free/en/papers/baumler-2025-survey-machine-learning-models-datasets/)** *(2025 · 4 citations)* Most work on automatic hate speech detection treats it as a yes/no decision. Real users need more detail. Content moderators, law enforcement and reporting centres want to know the target, severity or legal relevance of a message, and one message can fit several of these categories at once. This survey follows the…

## Co-authors here

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

- [Christian Reuter](https://md.research.elamur.ai/free/en/authors/christian-reuter/) ×2

## Venues

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

- [ACM Transactions on Knowledge Discovery from Data](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-knowledge-discovery-from-data/): [ACM Transactions on Knowledge Discovery from Data 2025](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-knowledge-discovery-from-data/2025/)
- [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/): [Transactions of the Association for Computational Linguistics (TACL) 2026](https://md.research.elamur.ai/free/en/venues/tacl/2026/)

## Cited by

Papers of our library cite their works 10 times (of the 149,439 papers whose bibliographies we read); [4 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/markus-bayer/cited-by/).

Updated 30 October 2026
