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Torsten Zesch

1 paper here

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

author position
  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • cs.CL1
ORCID 0000-0002-9678-3825

identity via Semantic Scholar / OpenAlex

most citedHateProof: Are Hateful Meme Detection Systems really Robust?

7 citations · 7 across the 1 of their papers we have counts for

collaborators
Showing cs.CLShow all

3 papers · 1 filter

cs.CL2025

Conditioning Large Language Models on Legal Systems? Detecting Punishable Hate Speech

Florian Ludwig, Torsten Zesch, Frederike Zufall

The assessment of legal problems requires the consideration of a specific legal system and its levels of abstraction, from constitutional law to statutory law to case law. The exte…

cs.CL2024★ 3 cited

Text or Image? What is More Important in Cross-Domain Generalization Capabilities of Hate Meme Detection Models?

Piush Aggarwal, Jawar Mehrabanian, Weigang Huang +2

This paper delves into the formidable challenge of cross-domain generalization in multimodal hate meme detection, presenting compelling findings. We provide enough pieces of eviden…

cs.CL2023★ 7 cited

HateProof: Are Hateful Meme Detection Systems really Robust?

Piush Aggarwal, Pranit Chawla, Mithun Das +4

Exploiting social media to spread hate has tremendously increased over the years. Lately, multi-modal hateful content such as memes has drawn relatively more traction than uni-moda…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.