Philipp Borchert

Orcid: 0000-0002-5533-4281

According to our database1, Philipp Borchert authored at least 14 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
A Benchmark for Deep Information Synthesis.
CoRR, February, 2026

2025
Conjecturing: An Overlooked Step in Formal Mathematical Reasoning.
CoRR, October, 2025

TopoAlign: A Framework for Aligning Code to Math via Topological Decomposition.
CoRR, October, 2025

DRIFT: Decompose, Retrieve, Illustrate, then Formalize Theorems.
CoRR, October, 2025

Bridging Language Gaps: Enhancing Few-Shot Language Adaptation.
CoRR, August, 2025

Native Design Bias: Studying the Impact of English Nativeness on Language Model Performance.
Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

Language Fusion for Parameter-Efficient Cross-lingual Transfer.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Industry-sensitive language modeling for business.
Eur. J. Oper. Res., 2024

Efficient Information Extraction in Few-Shot Relation Classification through Contrastive Representation Learning.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

Self-Distillation for Model Stacking Unlocks Cross-Lingual NLU in 200+ Languages.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
Extending business failure prediction models with textual website content using deep learning.
Eur. J. Oper. Res., 2023

SEER : A Knapsack approach to Exemplar Selection for In-Context HybridQA.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Investigating Bias in Multilingual Language Models: Cross-Lingual Transfer of Debiasing Techniques.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023


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