Carolin Holtermann

Orcid: 0000-0003-0449-1348

According to our database1, Carolin Holtermann authored at least 13 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Greater accessibility can amplify discrimination in generative AI.
CoRR, March, 2026

SoS: Analysis of Surface over Semantics in Multilingual Text-To-Image Generation.
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

TempViz: On the Evaluation of Temporal Knowledge in Text-to-Image Models.
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

Large Language Models Discriminate Against Speakers of German Dialects.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Around the World in 24 Hours: Probing LLM Knowledge of Time and Place.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Centurio: On Drivers of Multilingual Ability of Large Vision-Language Model.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

GIMMICK: Globally Inclusive Multimodal Multitask Cultural Knowledge Benchmarking.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Why do LLaVA Vision-Language Models Reply to Images in English?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

What the Weight?! A Unified Framework for Zero-Shot Knowledge Composition.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Evaluating the Elementary Multilingual Capabilities of Large Language Models with MultiQ.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to Scale.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2022
Fair and Argumentative Language Modeling for Computational Argumentation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022


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