Learning Word Embeddings: Unsupervised Methods for Fixed-size Representations of Variable-length Speech Segments. - Nils Holzenberger; Mingxing Du; Julien Karadayi; Rachid Riad; Emmanuel Dupoux (INTERSPEECH, 2018)

NIST TAC SM-KBP 2018 System Description: JHU/UR Pipeline. - Patrick Xia 002; Elias Stengel-Eskin; Tongfei Chen; Seth Ebner; Nils Holzenberger; Ryan Culkin; Pushpendre Rastogi; Xutai Ma; Benjamin Van Durme (TAC, 2018)

Large-Scale, Diverse, Paraphrastic Bitexts via Sampling and Clustering. - J. Edward Hu; Abhinav Singh; Nils Holzenberger; Matt Post; Benjamin Van Durme (CoNLL, 2019)

Learning from Multiview Correlations in Open-domain Videos. - Nils Holzenberger; Shruti Palaskar; Pranava Madhyastha; Florian Metze; Raman Arora (ICASSP, 2019)

NIST TAC SM-KBP 2019 System Description: JHU/UR Framework. - Yunmo Chen; Seth Ebner; Tongfei Chen; Patrick Xia 002; Elias Stengel-Eskin; Tzu-Ray Su; J. Edward Hu; Nils Holzenberger; Ryan Culkin; Craig Harman; Max Thomas; Thomas Lippincott; et al. (TAC, 2019)

Multiview Representation Learning for a Union of Subspaces. - Nils Holzenberger; Raman Arora (CoRR, 2019)

A Dataset for Statutory Reasoning in Tax Law Entailment and Question Answering. - Nils Holzenberger; Andrew Blair-Stanek; Benjamin Van Durme (NLLP@KDD, 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; et al. (IEEE J. Sel. Top. Signal Process., 2020)

Factoring Statutory Reasoning as Language Understanding Challenges. - Nils Holzenberger; Benjamin Van Durme (ACL/IJCNLP (1), 2021)

Schema Curation via Causal Association Rule Mining. - Noah Weber; Anton Belyy; Nils Holzenberger; Rachel Rudinger; Benjamin Van Durme (CoRR, 2021)

Asking the Right Questions in Low Resource Template Extraction. - Nils Holzenberger; Yunmo Chen; Benjamin Van Durme (CoRR, 2022)

Can GPT-3 Perform Statutory Reasoning? - Andrew Blair-Stanek; Nils Holzenberger; Benjamin Van Durme (ICAIL, 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; et al. (NeurIPS, 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; et al. (CoRR, 2023)

OpenAI Cribbed Our Tax Example, But Can GPT-4 Really Do Tax? - Andrew Blair-Stanek; Nils Holzenberger; Benjamin Van Durme (CoRR, 2023)

BLT: Can Large Language Models Handle Basic Legal Text? - Andrew Blair-Stanek; Nils Holzenberger; Benjamin Van Durme (CoRR, 2023)

The Factuality of Large Language Models in the Legal Domain. - Rajaa El Hamdani; Thomas Bonald; Fragkiskos D. Malliaros; Nils Holzenberger; Fabian M. Suchanek (CIKM, 2024)

Rules2Lab: from Prolog Knowledge-Base, to Learning Agents, to Norm Engineering. - Peter Fratric; Nils Holzenberger; David Restrepo Amariles (EUMAS, 2024)

Reframing Tax Law Entailment as Analogical Reasoning. - Xinrui Zou; Ming Zhang; Nathaniel Weir; Benjamin Van Durme; Nils Holzenberger (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)

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 U. S. 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 (NAACL (Findings), 2025)

Can AI expose tax loopholes? Towards a new generation of legal policy assistants. - Peter Fratric; Nils Holzenberger; David Restrepo Amariles (CoRR, 2025)