Publications

Media Coverage

• Our paper “Anonymity at Risk? Assessing Re-Identification Capabilities of Large Language Models” was discussed in “Echo der Zeit” by the Swiss National Radio and Television (SRF) on June 23rd, 2024.

Publication List

For a complete, up-to-date list, please find me on Google Scholar.

• Joel Niklaus, Lucia Zheng, Arya D. McCarthy, Christopher Hahn, Brian M. Rosen, Peter Henderson, Daniel E. Ho, Garrett Honke, Percy Liang, Christopher Manning, “FLawN-T5: An Empirical Examination of Effective Instruction-Tuning Data Mixtures for Legal Reasoning” - Pre-Print
  Article Code 🤗 Dataset
• Dor Bernsohn, Gil Semo, Yaron Vazana, Gila Hayat, Ben Hagag, Joel Niklaus, Rohit Saha, Kyryl Truskovskyi, “LegalLens: Leveraging LLMs for Legal Violation Identification in Unstructured Text” - Conference of the European Chapter of the Association for Computational Linguistics (EACL) 2024 oral
  Article Code 🤗 Dataset
• Joel Niklaus, Magda Chodup, Thomas Lüthi, Daniel Kettiger, “Re-Identifizierung in Gerichtsurteilen mit Simap Daten” - Pre-Print
  Article Code
• Santosh T.Y.S.S, Nina Baumgartner, Matthias Stürmer, Matthias Grabmair, Joel Niklaus, “Towards Explainability and Fairness in Swiss Judgement Prediction: Benchmarking on a Multilingual Dataset” - Natural Legal Language Processing Workshop (NLLP) @ International Conference on Empirical Methods in Natural Language Processing (EMNLP) 2023, Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING) 2024 Poster
  Article 🤗 Dataset Slides
• Joel Niklaus, Robin Mamié, Matthias Stürmer, Daniel Brunner, Marcel Gygli, “Automatic Anonymization of Swiss Federal Supreme Court Rulings” - Natural Legal Language Processing Workshop (NLLP) @ International Conference on Empirical Methods in Natural Language Processing (EMNLP) 2023
  Article Slides 🤗 Models
• Ramona Christen, Anastassia Shaitarova, Matthias Stürmer, Joel Niklaus, “Resolving Legalese: A Multilingual Exploration of Negation Scope Resolution in Legal Documents” - Natural Legal Language Processing Workshop (NLLP) @ International Conference on Empirical Methods in Natural Language Processing (EMNLP) 2023, Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING) 2024 oral
  Article Code 🤗 Dataset 🤗 Models Slides Video
• 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 Nay, Jonathan H Choi, Kevin Tobia, Margaret Hagan, Megan Ma, Michael 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 Datasets and Benchmarks 2023
  Article Code 🤗 Dataset Poster
• Alex Nyffenegger, Matthias Stürmer, Joel Niklaus, “Anonymity at Risk? Assessing Re-Identification Capabilities of Large Language Models” - Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) Findings 2024
  Article Code 🤗 Dataset
• Vishvaksenan Rasiah, Ronja Stern, Veton Matoshi, Matthias Stürmer, Ilias Chalkidis, Daniel E. Ho, Joel Niklaus, “ SCALE: Scaling up the Complexity for Advanced Language Model Evaluation” – Natural Legal Language Processing Workshop (NLLP) @ International Conference on Empirical Methods in Natural Language Processing (EMNLP) 2023, Data-centric Machine Learning Workshop (DMLR) @ International Conference on Learning Representations (ICLR) 2023
  Article 🤗 Dataset 🤗 Models Poster Slides
• Joel Niklaus, Veton Matoshi, Matthias Stürmer, Ilias Chalkidis, Daniel E. Ho, “MultiLegalPile: A 689GB Multilingual Legal Corpus” – Data-centric Machine Learning Research Workshop (DMLR) @ International Conference on Machine Learning (ICML) 2023, Natural Legal Language Processing Workshop (NLLP) @ International Conference on Empirical Methods in Natural Language Processing (EMNLP) 2023, Annual Meeting of the Association for Computational Linguistics (ACL) 2024 oral
  Article Dataset Code Pretraining Code 🤗 Dataset 🤗 Models Slides Poster Video
• Joel Niklaus, Veton Matoshi, Pooja Rani, Andrea Galassi, Matthias Stürmer, Ilias Chalkidis, “LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domain” – Natural Legal Language Processing Workshop (NLLP) @ International Conference on Empirical Methods in Natural Language Processing (EMNLP) 2023 & EMNLP Findings 2023
  Article Code 🤗 Dataset Slides Video
• Tobias Brugger, Matthias Stürmer, Joel Niklaus, “MultiLegalSBD: A Multilingual Legal Sentence Boundary Detection Dataset” – International Conference on AI and Law (ICAIL) 2023
  Article Code 🤗 Dataset 🤗 Models Slides
• Joel Niklaus, Daniele Giofré, “BudgetLongformer: Can we Cheaply Pretrain a SotA Legal Language Model From Scratch?” – Efficient Natural Language and Speech Processing Workshop (ENLSP) @ Neural Information Processing Systems (NeurIPS) 2022 & Workshop on Simple and Efficient Natural Language Processing (SustaiNLP) @ Annual Meeting of the Association for Computational Linguistics (ACL) 2023
  Article Poster 🤗 Models Video
• Gil Semo, Dor Bernsohn, Ben Hagag, Gila Hayat, Joel Niklaus, “ClassActionPrediction: A Challenging Benchmark for Legal Judgment Prediction of Class Action Cases in the US” – Natural Legal Language Processing Workshop (NLLP) @ International Conference on Empirical Methods in Natural Language Processing (EMNLP) 2022
  Article Code 🤗 Dataset
• Joel Niklaus, Matthias Stürmer, Ilias Chalkidis, “An Empirical Study on Cross-X Transfer for Legal Judgment Prediction” – Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL) and International Joint Conference on Natural Language Processing (IJCNLP) 2022
  Article Code Slides Video
• Joel Niklaus, Ilias Chalkidis, Matthias Stürmer, “Swiss-Judgment-Prediction: A Multilingual Legal Judgment Prediction Benchmark” – Natural Legal Language Processing Workshop (NLLP) @ International Conference on Empirical Methods in Natural Language Processing (EMNLP) 2021
  Article Code 🤗 Dataset Slides Video
• Christine Krebs, Michael Falkner, Joel Niklaus, Luca Persello, Stefan Klöppel, Tobias Nef, Prabitha Urwyler, “Application of Eye Tracking in Puzzle Games for Adjunct Cognitive Markers: Pilot Observational Study in Older Adults” – JMIR serious games 9
  Article
• Joel Niklaus, Michele Alberti, Rolf Ingold, Markus Stolze, Thomas Koller, “Challenging Human Supremacy: Evaluating Monte Carlo Tree Search and Deep Learning for the Trick Taking Card Game Jass” – Reinforcement Learning in Games (RLG) @ Association for the Advancement of Artificial Intelligence (AAAI) 2020 & International Conference on Artificial Intelligence and Soft Computing (ICAISC) 2020
  Article Code Poster
• Joel Niklaus, Michele Alberti, Vinay Pondenkandath, Rolf Ingold, Marcus Liwicki, “Survey of Artificial Intelligence for Card Games and Its Application to the Swiss Game Jass” – Swiss Conference on Data Science (SDS) 2019
  Article
• Zhongliang Zhao, Jose Carrera, Joel Niklaus, Torsten Braun, “Machine Learning-Based Real-Time Indoor Landmark Localization” – International Conference on Wired/Wireless Internet Communication (WWIC) 2018
  Article

Memberships

• ACM
• ACL
• ELRA

Reviewing

• NeurIPS 2024
• ARR April 2024
• ARR February 2024
• ARR December 2023
• NLLP Workshop 2023
• ARR August 2023
• MLLD Workshop 2023
• ARR April 2022
• ARR February 2022