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2020 – today
- 2024
[c8]Rajaa El Hamdani, Thomas Bonald, Fragkiskos D. Malliaros, Nils Holzenberger, Fabian M. Suchanek:
The Factuality of Large Language Models in the Legal Domain. CIKM 2024: 3741-3746- [i16]Xinrui Zou, Ming Zhang, Nathaniel Weir, Benjamin Van Durme, Nils Holzenberger:
Reframing Tax Law Entailment as Analogical Reasoning. CoRR abs/2401.06715 (2024) - [i15]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 abs/2406.17186 (2024) - [i14]Abe Bohan Hou, William Jurayj, Nils Holzenberger, Andrew Blair-Stanek, Benjamin Van Durme:
Gaps or Hallucinations? Gazing into Machine-Generated Legal Analysis for Fine-grained Text Evaluations. CoRR abs/2409.09947 (2024) - [i13]Rajaa El Hamdani, Thomas Bonald, Fragkiskos D. Malliaros, Nils Holzenberger, Fabian M. Suchanek:
The Factuality of Large Language Models in the Legal Domain. CoRR abs/2409.11798 (2024) - 2023
- [c7]Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme:
Can GPT-3 Perform Statutory Reasoning? ICAIL 2023: 22-31 - [c6]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:
LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models. NeurIPS 2023 - [i12]Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme:
Can GPT-3 Perform Statutory Reasoning? CoRR abs/2302.06100 (2023) - [i11]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 abs/2308.11462 (2023) - [i10]Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme:
OpenAI Cribbed Our Tax Example, But Can GPT-4 Really Do Tax? CoRR abs/2309.09992 (2023) - [i9]Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme:
BLT: Can Large Language Models Handle Basic Legal Text? CoRR abs/2311.09693 (2023) - 2022
- [i8]Nils Holzenberger, Yunmo Chen, Benjamin Van Durme:
Asking the Right Questions in Low Resource Template Extraction. CoRR abs/2205.12643 (2022) - 2021
- [c5]Nils Holzenberger, Benjamin Van Durme:
Factoring Statutory Reasoning as Language Understanding Challenges. ACL/IJCNLP (1) 2021: 2742-2758 - [i7]Noah Weber, Anton Belyy, Nils Holzenberger, Rachel Rudinger, Benjamin Van Durme:
Schema Curation via Causal Association Rule Mining. CoRR abs/2104.08811 (2021) - [i6]Nils Holzenberger, Benjamin Van Durme:
Factoring Statutory Reasoning as Language Understanding Challenges. CoRR abs/2105.07903 (2021) - 2020
- [j1]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): 577-591 (2020) - [c4]Nils Holzenberger, Andrew Blair-Stanek, Benjamin Van Durme:
A Dataset for Statutory Reasoning in Tax Law Entailment and Question Answering. NLLP@KDD 2020: 31-38 - [i5]Nils Holzenberger, Andrew Blair-Stanek, Benjamin Van Durme:
A Dataset for Statutory Reasoning in Tax Law Entailment and Question Answering. CoRR abs/2005.05257 (2020)
2010 – 2019
- 2019
- [c3]J. Edward Hu, Abhinav Singh, Nils Holzenberger, Matt Post, Benjamin Van Durme:
Large-Scale, Diverse, Paraphrastic Bitexts via Sampling and Clustering. CoNLL 2019: 44-54 - [c2]Nils Holzenberger, Shruti Palaskar, Pranava Madhyastha, Florian Metze, Raman Arora:
Learning from Multiview Correlations in Open-domain Videos. ICASSP 2019: 8628-8632 - [i4]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 - [i3]Nils Holzenberger, Raman Arora:
Multiview Representation Learning for a Union of Subspaces. CoRR abs/1912.12766 (2019) - 2018
- [c1]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: 2683-2687 - [i2]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 - [i1]Nils Holzenberger, Shruti Palaskar, Pranava Madhyastha, Florian Metze, Raman Arora:
Learning from Multiview Correlations in Open-Domain Videos. CoRR abs/1811.08890 (2018)
Coauthor Index
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last updated on 2024-11-18 21:45 CET by the dblp team
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