Nils Holzenberger
Publications by Year
Research Areas
Artificial Intelligence in Law, Topic Modeling, Natural Language Processing Techniques, Legal Language and Interpretation, Comparative and International Law Studies
Most-Cited Works
- → Legalbench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models(2023)128 cited
- → Can GPT-3 Perform Statutory Reasoning?(2023)60 cited
- → Large-Scale, Diverse, Paraphrastic Bitexts via Sampling and Clustering(2019)44 cited
- → Learning Word Embeddings: Unsupervised Methods for Fixed-size Representations of Variable-length Speech Segments(2018)33 cited
- → A Dataset for Statutory Reasoning in Tax Law Entailment and Question\n Answering(2020)26 cited
- → BLT: Can Large Language Models Handle Basic Legal Text?(2024)7 cited
- → CLERC: A Dataset for U. S. Legal Case Retrieval and Retrieval-Augmented Analysis Generation(2025)4 cited