Nils Holzenberger

According to our database, Nils Holzenberger authored at least 20 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Gaps or Hallucinations? Gazing into Machine-Generated Legal Analysis for Fine-grained Text Evaluations.

Abe Bohan Hou, William Jurayj, Nils Holzenberger, Andrew Blair-Stanek, Benjamin Van Durme

CoRR, 2024

CLERC: A Dataset for Legal Case Retrieval and Retrieval-Augmented Analysis Generation.

Abe Bohan Hou, Orion Weller, Guanghui Qin, Eugene Yang, Dawn J. Lawrie, Nils Holzenberger, Andrew Blair-Stanek, Benjamin Van Durme

CoRR, 2024

Reframing Tax Law Entailment as Analogical Reasoning.

Xinrui Zou, Ming Zhang, Nathaniel Weir, Benjamin Van Durme, Nils Holzenberger

CoRR, 2024

The Factuality of Large Language Models in the Legal Domain.

Rajaa El Hamdani, Thomas Bonald, Fragkiskos D. Malliaros, Nils Holzenberger, Fabian M. Suchanek

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

BLT: Can Large Language Models Handle Basic Legal Text?

Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme

CoRR, 2023

OpenAI Cribbed Our Tax Example, But Can GPT-4 Really Do Tax?

Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme

CoRR, 2023

LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models.

Neel Guha, Julian Nyarko, Daniel E. Ho, Christopher Ré, Adam Chilton, Aditya Narayana, Alex Chohlas-Wood, Austin Peters, Brandon Waldon, Daniel N. Rockmore, Diego Zambrano, Dmitry Talisman, Enam Hoque, Faiz Surani, Frank Fagan, Galit Sarfaty, Gregory M. Dickinson, Haggai Porat, Jason Hegland, Jessica Wu, Joe Nudell, Joel Niklaus, John J. Nay, Jonathan H. Choi, Kevin Tobia, Margaret Hagan, Megan Ma, Michael A. Livermore, Nikon Rasumov-Rahe, Nils Holzenberger, Noam Kolt, Peter Henderson, Sean Rehaag, Sharad Goel, Shang Gao, Spencer Williams, Sunny Gandhi, Tom Zur, Varun Iyer, Zehua Li

CoRR, 2023

LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models.

Neel Guha, Julian Nyarko, Daniel E. Ho, Christopher Ré, Adam Chilton, K. Aditya, Alex Chohlas-Wood, Austin Peters, Brandon Waldon, Daniel N. Rockmore, Diego Zambrano, Dmitry Talisman, Enam Hoque, Faiz Surani, Frank Fagan, Galit Sarfaty, Gregory M. Dickinson, Haggai Porat, Jason Hegland, Jessica Wu, Joe Nudell, Joel Niklaus, John J. Nay, Jonathan H. Choi, Kevin Tobia, Margaret Hagan, Megan Ma, Michael A. Livermore, Nikon Rasumov-Rahe, Nils Holzenberger, Noam Kolt, Peter Henderson, Sean Rehaag, Sharad Goel, Shang Gao, Spencer Williams, Sunny Gandhi, Tom Zur, Varun Iyer, Zehua Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Can GPT-3 Perform Statutory Reasoning?

Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme

Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law, 2023

2022

Asking the Right Questions in Low Resource Template Extraction.

Nils Holzenberger, Yunmo Chen, Benjamin Van Durme

CoRR, 2022

2021

Schema Curation via Causal Association Rule Mining.

Noah Weber, Anton Belyy, Nils Holzenberger, Rachel Rudinger, Benjamin Van Durme

CoRR, 2021

Factoring Statutory Reasoning as Language Understanding Challenges.

Nils Holzenberger, Benjamin Van Durme

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Grounded Sequence to Sequence Transduction.

Lucia Specia, Loïc Barrault, Ozan Caglayan, Amanda Cardoso Duarte, Desmond Elliott, Spandana Gella, Nils Holzenberger, Chiraag Lala, Sun Jae Lee, Jindrich Libovický, Pranava Madhyastha, Florian Metze, Karl Mulligan, Alissa Ostapenko, Shruti Palaskar, Ramon Sanabria, Josiah Wang, Raman Arora

IEEE J. Sel. Top. Signal Process., 2020

A Dataset for Statutory Reasoning in Tax Law Entailment and Question Answering.

Nils Holzenberger, Andrew Blair-Stanek, Benjamin Van Durme

Proceedings of the Natural Legal Language Processing Workshop 2020 co-located with the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2020), 2020

2019

Multiview Representation Learning for a Union of Subspaces.

Nils Holzenberger, Raman Arora

CoRR, 2019

NIST TAC SM-KBP 2019 System Description: JHU/UR Framework.

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, Benjamin Van Durme

Proceedings of the 2019 Text Analysis Conference, 2019

Learning from Multiview Correlations in Open-domain Videos.

Nils Holzenberger, Shruti Palaskar, Pranava Madhyastha, Florian Metze, Raman Arora

Proceedings of the IEEE International Conference on Acoustics, 2019

Large-Scale, Diverse, Paraphrastic Bitexts via Sampling and Clustering.

J. Edward Hu, Abhinav Singh, Nils Holzenberger, Matt Post, Benjamin Van Durme

Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

2018

NIST TAC SM-KBP 2018 System Description: JHU/UR Pipeline.

Patrick Xia, Elias Stengel-Eskin, Tongfei Chen, Seth Ebner, Nils Holzenberger, Ryan Culkin, Pushpendre Rastogi, Xutai Ma, Benjamin Van Durme

Proceedings of the 2018 Text Analysis Conference, 2018

Learning Word Embeddings: Unsupervised Methods for Fixed-size Representations of Variable-length Speech Segments.

Nils Holzenberger, Mingxing Du, Julien Karadayi, Rachid Riad, Emmanuel Dupoux

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018