CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation. - Philipp Borchert; Jochen De Weerdt; Kristof Coussement; Arno De Caigny; Marie-Francine Moens (EMNLP, 2023)

Investigating Bias in Multilingual Language Models: Cross-Lingual Transfer of Debiasing Techniques. - Manon Reusens; Philipp Borchert; Margot Mieskes; Jochen De Weerdt; Bart Baesens (EMNLP, 2023)

SEER : A Knapsack approach to Exemplar Selection for In-Context HybridQA. - Jonathan Tonglet; Manon Reusens; Philipp Borchert; Bart Baesens (EMNLP, 2023)

Extending business failure prediction models with textual website content using deep learning. - Philipp Borchert; Kristof Coussement; Arno De Caigny; Jochen De Weerdt (Eur. J. Oper. Res., 2023)

Self-Distillation for Model Stacking Unlocks Cross-Lingual NLU in 200+ Languages. - Fabian David Schmidt; Philipp Borchert; Ivan Vulic; Goran Glavas (EMNLP (Findings), 2024)

Efficient Information Extraction in Few-Shot Relation Classification through Contrastive Representation Learning. - Philipp Borchert; Jochen De Weerdt; Marie-Francine Moens (NAACL (Short Papers), 2024)

Native Design Bias: Studying the Impact of English Nativeness on Language Model Performance. - Manon Reusens; Philipp Borchert; Jochen De Weerdt; Bart Baesens (CoRR, 2024)

Industry-sensitive language modeling for business. - Philipp Borchert; Kristof Coussement; Jochen De Weerdt; Arno De Caigny (Eur. J. Oper. Res., 2024)

Language Fusion for Parameter-Efficient Cross-lingual Transfer. - Philipp Borchert; Ivan Vulic; Marie-Francine Moens; Jochen De Weerdt (ACL (1), 2025)