Philipp Borchert

21 papers A* 3Journal 14Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Benchmark for Deep Information Synthesis.
CoRR
Debjit Paul, Daniel Murphy, Milan Gritta, Ronald Cardenas, Victor Prokhorov, Lena Sophia Bolliger, Aysim Toker, Roy Vaughan Miles, Andreea-Maria Oncescu, Jasivan Alex Sivakumar, Philipp Borchert, Ismail Elezi, Meiru Zhang, Ka Yiu Lee, Guchun Zhang, Jun Wang, Gerasimos Lampouras
2025 J jnl
Bridging Language Gaps: Enhancing Few-Shot Language Adaptation.
CoRR
Philipp Borchert, Jochen De Weerdt, Marie-Francine Moens
2025 J jnl
Conjecturing: An Overlooked Step in Formal Mathematical Reasoning.
CoRR
Jasivan Alex Sivakumar, Philipp Borchert, Ronald Cardenas, Gerasimos Lampouras
2025 J jnl
DRIFT: Decompose, Retrieve, Illustrate, then Formalize Theorems.
CoRR
Meiru Zhang, Philipp Borchert, Milan Gritta, Gerasimos Lampouras
2025 — conf
Language Fusion for Parameter-Efficient Cross-lingual Transfer.
ACL (1)
Philipp Borchert, Ivan Vulic, Marie-Francine Moens, Jochen De Weerdt
2025 J jnl
Language Fusion for Parameter-Efficient Cross-lingual Transfer.
CoRR
Philipp Borchert, Ivan Vulic, Marie-Francine Moens, Jochen De Weerdt
2025 — conf
Native Design Bias: Studying the Impact of English Nativeness on Language Model Performance.
IJCNLP-AACL (Findings)
Manon Reusens, Philipp Borchert, Jochen De Weerdt, Bart Baesens
2025 J jnl
TopoAlign: A Framework for Aligning Code to Math via Topological Decomposition.
CoRR
Yupei Li, Philipp Borchert, Gerasimos Lampouras
2024 — conf
Efficient Information Extraction in Few-Shot Relation Classification through Contrastive Representation Learning.
NAACL (Short Papers)
Philipp Borchert, Jochen De Weerdt, Marie-Francine Moens
2024 J jnl
Efficient Information Extraction in Few-Shot Relation Classification through Contrastive Representation Learning.
CoRR
Philipp Borchert, Jochen De Weerdt, Marie-Francine Moens
2024 J jnl
Industry-sensitive language modeling for business.
Eur. J. Oper. Res.
Philipp Borchert, Kristof Coussement, Jochen De Weerdt, Arno De Caigny
2024 J jnl
Native Design Bias: Studying the Impact of English Nativeness on Language Model Performance.
CoRR
Manon Reusens, Philipp Borchert, Jochen De Weerdt, Bart Baesens
2024 — conf
Self-Distillation for Model Stacking Unlocks Cross-Lingual NLU in 200+ Languages.
EMNLP (Findings)
Fabian David Schmidt, Philipp Borchert, Ivan Vulic, Goran Glavas
2024 J jnl
Self-Distillation for Model Stacking Unlocks Cross-Lingual NLU in 200+ Languages.
CoRR
Fabian David Schmidt, Philipp Borchert, Ivan Vulic, Goran Glavas
2023 A* conf
CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation.
EMNLP
Philipp Borchert, Jochen De Weerdt, Kristof Coussement, Arno De Caigny, Marie-Francine Moens
2023 J jnl
CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation.
CoRR
Philipp Borchert, Jochen De Weerdt, Kristof Coussement, Arno De Caigny, Marie-Francine Moens
2023 J jnl
Extending business failure prediction models with textual website content using deep learning.
Eur. J. Oper. Res.
Philipp Borchert, Kristof Coussement, Arno De Caigny, Jochen De Weerdt
2023 A* conf
Investigating Bias in Multilingual Language Models: Cross-Lingual Transfer of Debiasing Techniques.
EMNLP
Manon Reusens, Philipp Borchert, Margot Mieskes, Jochen De Weerdt, Bart Baesens
2023 J jnl
Investigating Bias in Multilingual Language Models: Cross-Lingual Transfer of Debiasing Techniques.
CoRR
Manon Reusens, Philipp Borchert, Margot Mieskes, Jochen De Weerdt, Bart Baesens
2023 A* conf
SEER : A Knapsack approach to Exemplar Selection for In-Context HybridQA.
EMNLP
Jonathan Tonglet, Manon Reusens, Philipp Borchert, Bart Baesens
2023 J jnl
SEER : A Knapsack approach to Exemplar Selection for In-Context HybridQA.
CoRR
Jonathan Tonglet, Manon Reusens, Philipp Borchert, Bart Baesens