| Extending business failure prediction models with textual website content using deep learning P Borchert, K Coussement, A De Caigny, J De Weerdt European Journal of Operational Research 306 (1), 348-357, 2023 | 29 | 2023 |
| Investigating Bias in Multilingual Language Models: Cross-Lingual Transfer of Debiasing Techniques M Reusens, P Borchert, M Mieskes, J De Weerdt, B Baesens Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 3 | 2023 |
| Industry-sensitive language modeling for business P Borchert, K Coussement, J De Weerdt, A De Caigny European Journal of Operational Research 315 (2), 691-702, 2024 | 1 | 2024 |
| SEER: A Knapsack approach to Exemplar Selection for In-Context HybridQA J Tonglet, M Reusens, P Borchert, B Baesens Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 1 | 2023 |
| Native Design Bias: Studying the Impact of English Nativeness on Language Model Performance M Reusens, P Borchert, J De Weerdt, B Baesens arXiv preprint arXiv:2406.17385, 2024 | | 2024 |
| Self-Distillation for Model Stacking Unlocks Cross-Lingual NLU in 200+ Languages FD Schmidt, P Borchert, I Vulić, G Glavaš arXiv preprint arXiv:2406.12739, 2024 | | 2024 |
| Unraveling Key Information in Textual Earnings Disclosures P Borchert, J De Weerdt, K Coussement, A De Caigny Available at SSRN 4816174, 2024 | | 2024 |
| Efficient Information Extraction in Few-Shot Relation Classification through Contrastive Representation Learning P Borchert, J De Weerdt, MF Moens arXiv preprint arXiv:2403.16543, 2024 | | 2024 |
| CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation P Borchert, J De Weerdt, K Coussement, A De Caigny, MF Moens Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | | 2023 |
Jochen De WeerdtKU Leuven在 kuleuven.be 的电子邮件经过验证
