Nils Holzenberger

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 22

Top Topics

Logical Reasoning

Top Venues

IEEE J. Sel. Top. Signal Process.

Publications

Abe Bohan Hou, Orion Weller, Guanghui Qin, Eugene Yang, Dawn J. Lawrie, Nils Holzenberger, Andrew Blair-Stanek, Benjamin Van Durme
CLERC: A Dataset for Legal Case Retrieval and Retrieval-Augmented Analysis Generation. CoRR (2024)
Xinrui Zou, Ming Zhang, Nathaniel Weir, Benjamin Van Durme, Nils Holzenberger
Reframing Tax Law Entailment as Analogical Reasoning. CoRR (2024)
Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme
BLT: Can Large Language Models Handle Basic Legal Text? CoRR (2023)
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
LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models. CoRR (2023)
Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme
OpenAI Cribbed Our Tax Example, But Can GPT-4 Really Do Tax? CoRR (2023)
Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme
Can GPT-3 Perform Statutory Reasoning? ICAIL (2023)
Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme
Can GPT-3 Perform Statutory Reasoning? CoRR (2023)
Neel Guha, Julian Nyarko, Daniel E. Ho, Christopher Ré, Adam Chilton, Aditya K, 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
LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models. NeurIPS (2023)
Nils Holzenberger, Yunmo Chen, Benjamin Van Durme
Asking the Right Questions in Low Resource Template Extraction. CoRR (2022)
Nils Holzenberger, Benjamin Van Durme
Factoring Statutory Reasoning as Language Understanding Challenges. CoRR (2021)
Nils Holzenberger, Benjamin Van Durme
Factoring Statutory Reasoning as Language Understanding Challenges. ACL/IJCNLP (1) (2021)
Noah Weber, Anton Belyy, Nils Holzenberger, Rachel Rudinger, Benjamin Van Durme
Schema Curation via Causal Association Rule Mining. CoRR (2021)
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
Grounded Sequence to Sequence Transduction. IEEE J. Sel. Top. Signal Process. 14 (3) (2020)
Nils Holzenberger, Andrew Blair-Stanek, Benjamin Van Durme
A Dataset for Statutory Reasoning in Tax Law Entailment and Question Answering. NLLP@KDD (2020)
Nils Holzenberger, Andrew Blair-Stanek, Benjamin Van Durme
A Dataset for Statutory Reasoning in Tax Law Entailment and Question Answering. CoRR (2020)
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
NIST TAC SM-KBP 2019 System Description: JHU/UR Framework. TAC (2019)
J. Edward Hu, Abhinav Singh, Nils Holzenberger, Matt Post, Benjamin Van Durme
Large-Scale, Diverse, Paraphrastic Bitexts via Sampling and Clustering. CoNLL (2019)
Nils Holzenberger, Raman Arora
Multiview Representation Learning for a Union of Subspaces. CoRR (2019)
Nils Holzenberger, Shruti Palaskar, Pranava Madhyastha, Florian Metze, Raman Arora
Learning from Multiview Correlations in Open-domain Videos. ICASSP (2019)
Patrick Xia, Elias Stengel-Eskin, Tongfei Chen, Seth Ebner, Nils Holzenberger, Ryan Culkin, Pushpendre Rastogi, Xutai Ma, Benjamin Van Durme
NIST TAC SM-KBP 2018 System Description: JHU/UR Pipeline. TAC (2018)
Nils Holzenberger, Mingxing Du, Julien Karadayi, Rachid Riad, Emmanuel Dupoux
Learning Word Embeddings: Unsupervised Methods for Fixed-size Representations of Variable-length Speech Segments. INTERSPEECH (2018)
Nils Holzenberger, Shruti Palaskar, Pranava Madhyastha, Florian Metze, Raman Arora
Learning from Multiview Correlations in Open-Domain Videos. CoRR (2018)