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Author

Karel D’Oosterlinck

Observed names: D'Oosterlinck, Karel, D'oosterlinck, Karel, Doosterlinck, Karel, D’Oosterlinck, Karel, Karel D'Oosterlinck
ORCID: 0000-0003-1695-1014
Observed ORCID: 0000-0003-1695-1014
OpenAlex ID: A5031474902
Frozen Pretrained Transformers for Neural Sign Language Translation
2021 · Mathieu De Coster, Karel D’Oosterlinck, et al. · Ghent University Academic Bibliography (Ghent University) · 17
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BioDEX: Large-Scale Biomedical Adverse Drug Event Extraction for Real-World Pharmacovigilance
2023 · Karel D’Oosterlinck, François Remy, et al. · 10
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CAW-coref: Conjunction-Aware Word-level Coreference Resolution
2023 · Karel D’Oosterlinck, Semere Kiros Bitew, et al. · 7
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Causal Proxy Models for Concept-Based Model Explanations
2022 · Wu, Zhengxuan, D'Oosterlinck, Karel, et al. · arXiv (Cornell University) · 7
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CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior
2022 · Abraham, Eldar David, D'Oosterlinck, Karel, et al. · arXiv (Cornell University) · 7
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Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment
2025 · Karel D'Oosterlinck, Winnie Xu, et al. · Transactions of the Association for Computational Linguistics · 6
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In-Context Learning for Extreme Multi-Label Classification
2024 · D'Oosterlinck, Karel, Khattab, Omar, et al. · arXiv (Cornell University) · 5
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BioDEX: Large-Scale Biomedical Adverse Drug Event Extraction for Real-World Pharmacovigilance
2023 · D'Oosterlinck, Karel, Remy, François, et al. · arXiv (Cornell University) · 4
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Rigorously Assessing Natural Language Explanations of Neurons
2023 · Jing Huang, Atticus Geiger, et al. · 3
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CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior
2022 · Eldar D Abraham, Karel D'Oosterlinck, et al. · neural information processing systems · 3
MSCAW-coref: Multilingual, Singleton and Conjunction-Aware Word-Level Coreference Resolution
2024 · Houjun Liu, John Bauer, et al. · 1
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Composing Policy Gradients and Prompt Optimization for Language Model Programs
2026 · Noah Ziems, Dilara Soylu, et al.
HyperDAS: Towards Automating Mechanistic Interpretability with Hypernetworks
2025 · Sun, Jiuding, Huang, Jing, et al. · arXiv (Cornell University)
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Querying Databases with Function Calling
2025 · Shorten, Connor, Pierse, Charles, et al. · arXiv (Cornell University)
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Updating CLIP to Prefer Descriptions Over Captions
2024 · Amir Zur, Elisa Kreiss, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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Flexible Model Interpretability through Natural Language Model Editing
2023 · D'Oosterlinck, Karel, Demeester, Thomas, et al. · arXiv (Cornell University)
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Works count: 27
Citation count: 70
H-index: 6
I10-index: 2
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