🧑‍🔬 Chris Develder

🏛️ Affiliations

🎓Ghent UniversityGhent · Belgium2001–2026 · 275 papersEmploymentcurrent🤝IMECLeuven · Belgium2001–2026 · 79 paperscurrent🔬Imec the NetherlandsEindhoven · Netherlands2026 · 3 paperscurrent🎓Delft University of TechnologyDelft · Netherlands2026 · 1 papercurrent🤝iMindsGhent · Belgium2006–2016 · 83 papers🏥Ghent University HospitalGhent · Belgium2004–2005 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment (2025 · 20 citations)
   The authors argue that preference-based alignment of LLMs is underspecified in two ways. First, the winning and losing responses in a preference pair often differ in many irrelevant aspects, which blurs what the model should learn. Second, standard contrastive objectives do not consider whether the target model is…
2. CAW-coref: Conjunction-Aware Word-level Coreference Resolution (2023 · 17 citations)
   Coreference resolution groups text mentions that point to the same entity. The strongest current systems call large language models many times per document, which is too costly for large-scale information extraction. Word-level coreference (WL-coref) is much cheaper. A single pass of roberta-large produces word…

All works

6 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in AlignmentTransactions of the Association for Computational Linguistics (TACL)Karel D'Oosterlinck, Winnie Xu, Chris Develder, et al.2025 · 20 citations
2. CAW-coref: Conjunction-Aware Word-level Coreference ResolutionWorkshop on Computational Models of Reference, Anaphora and Coreference (CRAC)Karel D'Oosterlinck, Semere Kiros Bitew, Brandon Papineau, et al.2023 · 17 citations
3. In-Context Learning for Extreme Multi-Label Classification ↗arXiv (Cornell University) · no summary yetKarel D’Oosterlinck et al.2024 · 16 citations
4. BioDEX: Large-Scale Biomedical Adverse Drug Event Extraction for Real-World Pharmacovigilance ↗Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yetKarel D'Oosterlinck et al.2023 · 14 citations
5. Learning from Partially Annotated Data: Example-aware Creation of Gap-filling Exercises for Language Learning ↗Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023) · no summary yetSemere Kiros Bitew et al.2023 · 4 citations
6. Flexible Model Interpretability through Natural Language Model Editing ↗arXiv (Cornell University) · no summary yetKarel D’Oosterlinck et al.2023

🤝 Co-authors here

6 co-authors with a page, the most papers together first.

• Christopher E. Potts ×2
• Karel D'Oosterlinck ×2
• Thomas Demeester ×2
• Amanpreet Singh
• Douwe Kiela
• Shikib Mehri

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Workshop on Computational Models of Reference, Anaphora and Coreference (CRAC): CRAC 2023
• Transactions of the Association for Computational Linguistics (TACL): Transactions of the Association for Computational Linguistics (TACL) 2025
• Findings of the Association for Computational Linguistics: EMNLP 2023
• Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)

🔗 Cited by

Papers of our library cite their works 43 times (of the 149,439 papers whose bibliographies we read); 9 citing papers with a page here →.

Updated 30 October 2026

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