Nils Holzenberger

35 papers A* 3A 2B 1C 2Misc 1Journal 21Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Can LLMs Identify Tax Abuse? AAAI Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme
2026	J	`jnl`	LELA: an LLM-based Entity Linking Approach with Zero-Shot Domain Adaptation. CoRR Samy Haffoudhi, Fabian M. Suchanek, Nils Holzenberger
2026	A*	`conf`	Language Models and Logic Programs for Trustworthy Tax Reasoning. AAAI William Jurayj, Nils Holzenberger, Benjamin Van Durme
2026	J	`jnl`	Where Experts Disagree, Models Fail: Detecting Implicit Legal Citations in French Court Decisions. CoRR Avrile Floro, Tamara Dhorasoo, Soline Pellez, Nils Holzenberger
2025	—	`conf`	CLERC: A Dataset for U. S. Legal Case Retrieval and Retrieval-Augmented Analysis Generation. NAACL (Findings) Abe Bohan Hou, Orion Weller, Guanghui Qin, Eugene Yang, Dawn J. Lawrie, Nils Holzenberger, Andrew Blair-Stanek, Benjamin Van Durme
2025	J	`jnl`	Can AI expose tax loopholes? Towards a new generation of legal policy assistants. CoRR Peter Fratric, Nils Holzenberger, David Restrepo Amariles
2025	J	`jnl`	Can LLMs Identify Tax Abuse? CoRR Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme
2025	J	`jnl`	Language Models and Logic Programs for Trustworthy Financial Reasoning. CoRR William Jurayj, Nils Holzenberger, Benjamin Van Durme
2025	J	`jnl`	Retrieval-Constrained Decoding Reveals Underestimated Parametric Knowledge in Language Models. CoRR Rajaa El Hamdani, Samy Haffoudhi, Nils Holzenberger, Fabian M. Suchanek, Thomas Bonald, Fragkiskos D. Malliaros
2024	J	`jnl`	CLERC: A Dataset for Legal Case Retrieval and Retrieval-Augmented Analysis Generation. CoRR Abe Bohan Hou, Orion Weller, Guanghui Qin, Eugene Yang, Dawn J. Lawrie, Nils Holzenberger, Andrew Blair-Stanek, Benjamin Van Durme
2024	J	`jnl`	Gaps or Hallucinations? Gazing into Machine-Generated Legal Analysis for Fine-grained Text Evaluations. CoRR Abe Bohan Hou, William Jurayj, Nils Holzenberger, Andrew Blair-Stanek, Benjamin Van Durme
2024	J	`jnl`	Reframing Tax Law Entailment as Analogical Reasoning. CoRR Xinrui Zou, Ming Zhang, Nathaniel Weir, Benjamin Van Durme, Nils Holzenberger
2024	C	`conf`	Rules2Lab: from Prolog Knowledge-Base, to Learning Agents, to Norm Engineering. EUMAS Peter Fratric, Nils Holzenberger, David Restrepo Amariles
2024	A	`conf`	The Factuality of Large Language Models in the Legal Domain. CIKM Rajaa El Hamdani, Thomas Bonald, Fragkiskos D. Malliaros, Nils Holzenberger, Fabian M. Suchanek
2024	J	`jnl`	The Factuality of Large Language Models in the Legal Domain. CoRR Rajaa El Hamdani, Thomas Bonald, Fragkiskos D. Malliaros, Nils Holzenberger, Fabian M. Suchanek
2023	J	`jnl`	BLT: Can Large Language Models Handle Basic Legal Text? CoRR Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme
2023	C	`conf`	Can GPT-3 Perform Statutory Reasoning? ICAIL Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme
2023	J	`jnl`	Can GPT-3 Perform Statutory Reasoning? CoRR Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme
2023	A*	`conf`	LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models. NeurIPS 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
2023	J	`jnl`	LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models. CoRR 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
2023	J	`jnl`	OpenAI Cribbed Our Tax Example, But Can GPT-4 Really Do Tax? CoRR Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme
2022	J	`jnl`	Asking the Right Questions in Low Resource Template Extraction. CoRR Nils Holzenberger, Yunmo Chen, Benjamin Van Durme
2021	—	`conf`	Factoring Statutory Reasoning as Language Understanding Challenges. ACL/IJCNLP (1) Nils Holzenberger, Benjamin Van Durme
2021	J	`jnl`	Factoring Statutory Reasoning as Language Understanding Challenges. CoRR Nils Holzenberger, Benjamin Van Durme
2021	J	`jnl`	Schema Curation via Causal Association Rule Mining. CoRR Noah Weber, Anton Belyy, Nils Holzenberger, Rachel Rudinger, Benjamin Van Durme
2020	—	`conf`	A Dataset for Statutory Reasoning in Tax Law Entailment and Question Answering. NLLP@KDD Nils Holzenberger, Andrew Blair-Stanek, Benjamin Van Durme
2020	J	`jnl`	A Dataset for Statutory Reasoning in Tax Law Entailment and Question Answering. CoRR Nils Holzenberger, Andrew Blair-Stanek, Benjamin Van Durme
2020	J	`jnl`	Grounded Sequence to Sequence Transduction. IEEE J. Sel. Top. Signal Process. 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
2019	B	`conf`	Large-Scale, Diverse, Paraphrastic Bitexts via Sampling and Clustering. CoNLL J. Edward Hu, Abhinav Singh, Nils Holzenberger, Matt Post, Benjamin Van Durme
2019	Misc	`conf`	Learning from Multiview Correlations in Open-domain Videos. ICASSP Nils Holzenberger, Shruti Palaskar, Pranava Madhyastha, Florian Metze, Raman Arora
2019	J	`jnl`	Multiview Representation Learning for a Union of Subspaces. CoRR Nils Holzenberger, Raman Arora
2019	—	`conf`	NIST TAC SM-KBP 2019 System Description: JHU/UR Framework. TAC 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
2018	A	`conf`	Learning Word Embeddings: Unsupervised Methods for Fixed-size Representations of Variable-length Speech Segments. INTERSPEECH Nils Holzenberger, Mingxing Du, Julien Karadayi, Rachid Riad, Emmanuel Dupoux
2018	J	`jnl`	Learning from Multiview Correlations in Open-Domain Videos. CoRR Nils Holzenberger, Shruti Palaskar, Pranava Madhyastha, Florian Metze, Raman Arora
2018	—	`conf`	NIST TAC SM-KBP 2018 System Description: JHU/UR Pipeline. TAC Patrick Xia, Elias Stengel-Eskin, Tongfei Chen, Seth Ebner, Nils Holzenberger, Ryan Culkin, Pushpendre Rastogi, Xutai Ma, Benjamin Van Durme