🧑‍🔬 Nils Holzenberger

🏛️ Affiliations

🎓Télécom ParisPalaiseau · France2022–2026 · 24 paperscurrent🎓Johns Hopkins UniversityBaltimore · United States2018–2026 · 19 paperscurrent🎓Institut Polytechnique de ParisPalaiseau · France2023–2026 · 18 paperscurrent🔬Laboratoire Traitement et Communication de l’InformationPalaiseau · France2022–2025 · 8 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Can GPT-3 Perform Statutory Reasoning? (2023 · 154 citations)
   The paper asks whether a large language model can apply written legal rules to stated facts, a core skill for lawyers.
2. A Dataset for Statutory Reasoning in Tax Law Entailment and Question Answering (2020 · 73 citations)
   The paper frames statutory reasoning as a distinct NLP challenge: a system must apply legal rules, each stated only once in natural language, to a factual scenario that is also written in prose.

All works

16 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. Can GPT-3 Perform Statutory Reasoning?arXiv:2302.06100Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme2023 · 154 citations
2. Large-Scale, Diverse, Paraphrastic Bitexts via Sampling and Clustering ↗Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL) · no summary yetJ. Edward Hu et al.2019 · 90 citations
3. A Dataset for Statutory Reasoning in Tax Law Entailment and Question AnsweringarXiv:2005.05257Nils Holzenberger, Andrew Blair-Stanek, Benjamin Van Durme2020 · 73 citations
4. Factoring Statutory Reasoning as Language Understanding Challenges ↗Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yetNils Holzenberger, Benjamin Van Durme2021 · 33 citations
5. CLERC: A Dataset for U. S. Legal Case Retrieval and Retrieval-Augmented Analysis Generation ↗Findings of the Association for Computational Linguistics: NAACL 2025 · no summary yetAbe Bohan Hou et al.2025 · 29 citations
6. CLERC: A Dataset for Legal Case Retrieval and Retrieval-Augmented Analysis Generation ↗arXiv:2406.17186 · no summary yetAbe Bohan Hou et al.2024 · 21 citations
7. The Factuality of Large Language Models in the Legal Domain ↗arXiv:2409.11798 · no summary yetRajaa El Hamdani et al.2024 · 17 citations
8. BLT: Can Large Language Models Handle Basic Legal Text? ↗Proceedings of the Natural Legal Language Processing Workshop 2024 · no summary yetAndrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme2024 · 17 citations
9. Connecting Symbolic Statutory Reasoning with Legal Information Extraction ↗Proceedings of the Natural Legal Language Processing Workshop 2023 · no summary yetNils Holzenberger, Benjamin Van Durme2023 · 14 citations
10. Gaps or Hallucinations? Scrutinizing Machine-Generated Legal Analysis for Fine-grained Text Evaluations ↗Proceedings of the Natural Legal Language Processing Workshop 2024 · no summary yetAbe Hou et al.2024 · 11 citations
11. Reframing Tax Law Entailment as Analogical Reasoning ↗arXiv:2401.06715 · no summary yetXinrui Zou; Ming Zhang; Nathaniel Weir; Benjamin Van Durme;, Nils Holzenberger2024 · 5 citations
12. Gaps or Hallucinations? Gazing into Machine-Generated Legal Analysis for Fine-grained Text Evaluations ↗arXiv:2409.09947 · no summary yetAbe Bohan Hou et al.2024 · 4 citations
13. DeonticBench: A Benchmark for Reasoning over Rules ↗arXiv:2604.04443 · no summary yetGuangyao Dou et al.2026 · 1 citation
14. Where Experts Disagree, Models Fail: Detecting Implicit Legal Citations in French Court Decisions ↗arXiv:2603.22973 · no summary yetAvrile Floro et al.2026 · 1 citation
15. DAR: Deontic Reasoning with Agentic Harnesses ↗arXiv:2606.05009 · no summary yetGuangyao Dou et al.2026
16. Can AI expose tax loopholes? Towards a new generation of legal policy assistants ↗arXiv:2503.17339 · no summary yetPeter Fratrič, Nils Holzenberger, David Restrepo Amariles2025

🤝 Co-authors here

2 co-authors with a page, the most papers together first.

• Andrew Blair-Stanek ×2
• Benjamin Van Durme ×2

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Proceedings of the Natural Legal Language Processing Workshop 2023 ×3
• Findings of the Association for Computational Linguistics: NAACL 2025
• Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)
• Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

🔗 Cited by

Papers of our library cite their works 288 times (of the 149,439 papers whose bibliographies we read); 32 citing papers with a page here →.

Updated 2 November 2026

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