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Carolin Holtermann
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2020 – today
- 2024
- [c5]Carolin Holtermann, Paul Röttger, Timm Dill, Anne Lauscher:
Evaluating the Elementary Multilingual Capabilities of Large Language Models with MultiQ. ACL (Findings) 2024: 4476-4494 - [c4]Markus Frohmann, Carolin Holtermann, Shahed Masoudian, Anne Lauscher, Navid Rekabsaz:
ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to Scale. ACL (Findings) 2024: 11743-11776 - [c3]Carolin Holtermann, Markus Frohmann, Navid Rekabsaz, Anne Lauscher:
What the Weight?! A Unified Framework for Zero-Shot Knowledge Composition. EACL (Findings) 2024: 1138-1157 - [c2]Musashi Hinck, Carolin Holtermann, Matthew L. Olson, Florian Schneider, Sungduk Yu, Anahita Bhiwandiwalla, Anne Lauscher, Shao-Yen Tseng, Vasudev Lal:
Why do LLaVA Vision-Language Models Reply to Images in English? EMNLP (Findings) 2024: 13402-13421 - [i5]Carolin Holtermann, Markus Frohmann, Navid Rekabsaz, Anne Lauscher:
What the Weight?! A Unified Framework for Zero-Shot Knowledge Composition. CoRR abs/2401.12756 (2024) - [i4]Carolin Holtermann, Paul Röttger, Timm Dill, Anne Lauscher:
Evaluating the Elementary Multilingual Capabilities of Large Language Models with MultiQ. CoRR abs/2403.03814 (2024) - [i3]Musashi Hinck, Carolin Holtermann, Matthew Lyle Olson, Florian Schneider, Sungduk Yu, Anahita Bhiwandiwalla, Anne Lauscher, Shao-Yen Tseng, Vasudev Lal:
Why do LLaVA Vision-Language Models Reply to Images in English? CoRR abs/2407.02333 (2024) - 2023
- [i2]Markus Frohmann, Carolin Holtermann, Shahed Masoudian, Anne Lauscher, Navid Rekabsaz:
ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to Scale. CoRR abs/2310.01217 (2023) - 2022
- [c1]Carolin Holtermann
, Anne Lauscher
Fair and Argumentative Language Modeling for Computational Argumentation. ACL (1) 2022: 7841-7861 - [i1]Carolin Holtermann, Anne Lauscher, Simone Paolo Ponzetto:
Fair and Argumentative Language Modeling for Computational Argumentation. CoRR abs/2204.04026 (2022)
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