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Michael Granitzer

9 papers hereh-index 339 citations11 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author9

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.LG4
  • cs.IR1
same name
  • Michael Granitzer — 6 papers, h 4
  • Michael Granitzer — 1 paper, h 2
  • Michael Granitzer — 1 paper
  • Michael Granitzer — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026

Toward Generalized Cross-Lingual Hateful Language Detection with Web-Scale Data and Ensemble LLM Annotations

Dang H. Dang, Jelena Mitrovi, Michael Granitzer

We study whether large-scale unlabelled web data and LLM-based synthetic annotations can improve multilingual hate speech detection. Starting from texts crawled via OpenWebSearch.e…

cs.CL2024

On the Suitability of pre-trained foundational LLMs for Analysis in German Legal Education

Lorenz Wendlinger, Christian Braun, Abdullah Al Zubaer +4

We show that current open-source foundational LLMs possess instruction capability and German legal background knowledge that is sufficient for some legal analysis in an educational…

cs.CL2024

Enhancing Rhetorical Figure Annotation: An Ontology-Based Web Application with RAG Integration

Ramona Kühn, Jelena Mitrović, Michael Granitzer

Rhetorical figures play an important role in our communication. They are used to convey subtle, implicit meaning, or to emphasize statements. We notice them in hate speech, fake ne…

cs.CL2024

LLMs in the Loop: Leveraging Large Language Model Annotations for Active Learning in Low-Resource Languages

Nataliia Kholodna, Sahib Julka, Mohammad Khodadadi +2

Low-resource languages face significant barriers in AI development due to limited linguistic resources and expertise for data labeling, rendering them rare and costly. The scarcity…

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