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.

• Ronja Stern, Ken Kawamura, Matthias Stürmer, Ilias Chalkidis, Joel Niklaus “Breaking the Manual Annotation Bottleneck: Creating a Comprehensive Legal Case Criticality Dataset through Semi-Automated Labeling” - Pre-Print
  Article 🤗 Dataset
• Luca Rolshoven, Vishvaksenan Rasiah, Srinanda Brügger Bose, Matthias Stürmer, Joel Niklaus “Unlocking Legal Knowledge: A Multilingual Dataset for Judicial Summarization in Switzerland” - Pre-Print
  Article 🤗 Dataset
• Angelika Romanou, Negar Foroutan, Anna Sotnikova, Zeming Chen, Sree Harsha Nelaturu, Shivalika Singh, Rishabh Maheshwary, Micol Altomare, Mohamed A. Haggag, Snegha A, Alfonso Amayuelas, Azril Hafizi Amirudin, Viraat Aryabumi, Danylo Boiko, Michael Chang, Jenny Chim, Gal Cohen, Aditya Kumar Dalmia, Abraham Diress, Sharad Duwal, Daniil Dzenhaliou, Daniel Fernando Erazo Florez, Fabian Farestam, Joseph Marvin Imperial, Shayekh Bin Islam, Perttu Isotalo, Maral Jabbarishiviari, Börje F. Karlsson, Eldar Khalilov, Christopher Klamm, Fajri Koto, Dominik Krzemiński, Gabriel Adriano de Melo, Syrielle Montariol, Yiyang Nan, Joel Niklaus, Jekaterina Novikova, Johan Samir Obando Ceron, Debjit Paul, Esther Ploeger, Jebish Purbey, Swati Rajwal, Selvan Sunitha Ravi, Sara Rydell, Roshan Santhosh, Drishti Sharma, Marjana Prifti Skenduli, Arshia Soltani Moakhar, Bardia Soltani Moakhar, Ran Tamir, Ayush Kumar Tarun, Azmine Toushik Wasi, Thenuka Ovin Weerasinghe, Serhan Yilmaz, Mike Zhang, Imanol Schlag, Marzieh Fadaee, Sara Hooker, Antoine Bosselut, “INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge” - International Conference on Learning Representations
  Article 🤗 Dataset
• 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 Slides
• 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 and Outstanding Paper Award (top 2% of accepted papers)
  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

• ARR August 2024
• NeurIPS 2024
• ARR June 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