Nils Holzenberger
nils dot holzenberger at telecom-paris dot fr
Assistant Professor at Télécom Paris in the DIG team
nils dot holzenberger at telecom-paris dot fr
Assistant Professor at Télécom Paris in the DIG team
The DIG team is hiring faculty! See here.
*: indicates equal contribution
BLT: Can Large Language Models Handle Basic Legal Text? [paper]
Andrew Blair-Stanek, Nils Holzenberger and Benjamin Van Durme
NLLP Workshop 2024
Gaps or Hallucinations? Scrutinizing Machine-Generated Legal Analysis for Fine-grained Text Evaluations [paper]
Abe Hou, William Jurayj, Nils Holzenberger, Andrew Blair-Stanek and Benjamin Van Durme
NeurIPS 2023 Datasets and Benchmarks
LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models [paper]
Neel Guha et al
NeurIPS 2023 Datasets and Benchmarks
Connecting Symbolic Statutory Reasoning with Legal Information Extraction [paper] [resources]
Nils Holzenberger and Benjamin Van Durme
Proceedings of the Natural Legal Language Processing Workshop, December 7, 2023, Singapore
OpenAI Cribbed Our Tax Example, But Can GPT-4 Really Do Tax? [paper]
Andrew Blair-Stanek, Nils Holzenberger and Benjamin Van Durme
Tax Notes Federal, August 14, 2023
Can GPT-3 Perform Statutory Reasoning? [paper]
Andrew Blair-Stanek, Nils Holzenberger and Benjamin Van Durme
ICAIL, 2023
Shelter Check: Proactively Finding Tax Minimization Strategies via AI [paper]
Andrew Blair-Stanek, Nils Holzenberger and Benjamin Van Durme
Tax Notes Federal, Dec. 12, 2022
Human Schema Curation via Causal Association Rule Mining [paper] [landing page]
Noah Weber*, Anton Belyy*, Nils Holzenberger*, Rachel Rudinger and Benjamin Van Durme
LAW-XVI @ LREC 2022
Asking the Right Questions in Low Resource Template Extraction [paper]
Nils Holzenberger*, Yunmo Chen* and Benjamin Van Durme
arXiv, 2022
Factoring Statutory Reasoning as Language Understanding Challenges [paper] [resources]
Nils Holzenberger and Benjamin Van Durme
ACL, 2021
A Dataset for Statutory Reasoning in Tax Law Entailment and Question Answering [paper] [resources] [featured on AI2's NLP Highlights podcast]
Nils Holzenberger, Andrew Blair-Stanek and Benjamin Van Durme
Proceedings of the 2020 Natural Legal Language Processing (NLLP) Workshop, 24 August 2020, San Diego, US
Grounded Sequence to Sequence Transduction [paper]
Lucia Specia, Loïc Barrault, Ozan Caglayan, Amanda Duarte, Desmond Elliott, Spandana Gella, Nils Holzenberger, Chiraag Lala, Sun Jae Lee, Jindřich Libovický, Pranava Madhyastha, Florian Metze, Karl Mulligan, Alissa Ostapenko, Shruti Palaskar, Ramon Sanabria, Josiah Wang, and Raman Arora
IEEE Journal of Selected Topics in Signal Processing, March 2020
Multiview Representation Learning for a Union of Subspaces [paper]
Nils Holzenberger and Raman Arora
arXiv, 2019
Large-Scale, Diverse, Paraphrastic Bitexts via Sampling and Clustering [paper]
Edward J. Hu, Abhinav Singh, Nils Holzenberger, Matt Post and Benjamin Van Durme
CoNLL 2019
NIST TAC SM-KBP 2019 System Description: JHU/UR Framework [paper]
Yunmo Chen, Seth Ebner, Tongfei Chen, Patrick Xia, Elias Stengel-Eskin, Tzu-Ray Su, J. Edward Hu, Nils Holzenberger, Ryan Culkin, Craig Harman, Max Thomas, Thomas Lippincott, Aaron Steven White, Kyle Rawlins and Benjamin Van Durme
TAC 2019
Learning from Multiview Correlations in Open-Domain Videos [paper]
Nils Holzenberger*, Shruti Palaskar*, Pranava Madhyastha, Florian Metze and Raman Arora
ICASSP 2019
NIST TAC SM-KBP 2018 System Description: JHU/UR Pipeline [paper]
Patrick Xia, Elias Stengel-Eskin, Tongfei Chen, Seth Ebner, Nils Holzenberger, Ryan Culkin, Pushpendre Rastogi, Xutai Ma and Benjamin Van Durme
TAC 2018
Learning Word Embeddings: Unsupervised Methods for Fixed-size Representations of Variable-length Speech Segments [paper]
Nils Holzenberger, Mingxing Du, Julien Karadayi, Rachid Riad and Emmanuel Dupoux
Interspeech 2018
Tilting at wave beams: a new perspective on the St. Andrew's Cross [paper]
Takeshi Kataoka, Sasan Ghaemsaidi, Nils Holzenberger, Thomas Peacock and Triantaphyllos Akylas
Journal of Fluid Mechanics, vol. 830, pp. 660-680, 2017
Assistant Professor at Télécom Paris, Palaiseau, France, February 2023 - Present
PhD Candidate at Johns Hopkins University, Baltimore, MD, USA, September 2017 - November 2022
Montreal Institute for Learning Algorithms with Yoshua Bengio, Montréal, Canada, April - July 2017
Master's at Mines ParisTech (École Nationale Supérieure des Mines de Paris), Paris, France, September 2013 - July 2017
CoML with Emmanuel Dupoux, École Normale Supérieure (ENS Ulm), Paris, France, May - September 2016
Carnegie Mellon University with Florian Metze, Pittsburgh, PA, USA, December 2015 - May 2016
IBM Watson, Littleton, MA, USA, June - November 2015
ENDLab with Tom Peacock, MIT, Cambridge, MA, USA, September 2014 - February 2015
TE-VSC group, CERN Technology Department, Meyrin, Switzerland, February 2014
Classe préparatoire MPSI/MP, Lycée Louis-le-Grand, Paris, France, September 2011 - July 2013