Pieter Delobelle

According to our database1, Pieter Delobelle authored at least 22 papers between 2019 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
Trans-Tokenization and Cross-lingual Vocabulary Transfers: Language Adaptation of LLMs for Low-Resource NLP.
CoRR, 2024

BPE-knockout: Pruning Pre-existing BPE Tokenisers with Backwards-compatible Morphological Semi-supervision.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

OneLove beyond the field - A few-shot pipeline for topic and sentiment analysis during the FIFA World Cup in Qatar.
Proceedings of the 20th Conference on Natural Language Processing, 2024

Whispering Experts: Neural Interventions for Toxicity Mitigation in Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Metrics for What, Metrics for Whom: Assessing Actionability of Bias Evaluation Metrics in NLP.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
Tik-to-Tok: Translating Language Models One Token at a Time: An Embedding Initialization Strategy for Efficient Language Adaptation.
CoRR, 2023

ResumeTailor: Improving Resume Quality Through Co-Creative Tools.
Proceedings of the HHAI 2023: Augmenting Human Intellect, 2023

How Far Can It Go? On Intrinsic Gender Bias Mitigation for Text Classification.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022
RobBERT-2022: Updating a Dutch Language Model to Account for Evolving Language Use.
CoRR, 2022

RobBERTje: a Distilled Dutch BERT Model.
CoRR, 2022

FairDistillation: Mitigating Stereotyping in Language Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Measuring Fairness with Biased Rulers: A Comparative Study on Bias Metrics for Pre-trained Language Models.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Algorithmic Tools in Public Employment Services: Towards a Jobseeker-Centric Perspective.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021
Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning.
SIGKDD Explor., 2021

Measuring Fairness with Biased Rulers: A Survey on Quantifying Biases in Pretrained Language Models.
CoRR, 2021

Measuring Shifts in Attitudes Towards COVID-19 Measures in Belgium Using Multilingual BERT.
CoRR, 2021

Survival of the Wittiest: Evolving Satire with Language Models.
Proceedings of the Twelfth International Conference on Computational Creativity, 2021

Learning to Rank Generated Portmanteaus.
Proceedings of the Twelfth International Conference on Computational Creativity, 2021

2020
Dutch Humor Detection by Generating Negative Examples.
CoRR, 2020

RobBERT: a Dutch RoBERTa-based Language Model.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019
Time to Take Emoji Seriously: They Vastly Improve Casual Conversational Models.
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

Computational Ad Hominem Detection.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019


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