Machine Learning-Based Real-Time Indoor Landmark Localization. - Zhongliang Zhao; Jose Luis Carrera; Joel Niklaus; Torsten Braun (WWIC, 2018)

Survey of Artificial Intelligence for Card Games and Its Application to the Swiss Game Jass. - Joel Niklaus; Michele Alberti; Vinaychandran Pondenkandath; Rolf Ingold; Marcus Liwicki (SDS, 2019)

Challenging Human Supremacy: Evaluating Monte Carlo Tree Search and Deep Learning for the Trick Taking Card Game Jass. - Joel Niklaus; Michele Alberti; Rolf Ingold; Markus Stolze; Thomas Koller (ICAISC (2), 2020)

Swiss-Judgment-Prediction: A Multilingual Legal Judgment Prediction Benchmark. - Joel Niklaus; Ilias Chalkidis; Matthias Stürmer (NLLP@EMNLP, 2021)

ClassActionPrediction: A Challenging Benchmark for Legal Judgment Prediction of Class Action Cases in the US. - Gil Semo; Dor Bernsohn; Ben Hagag; Gila Hayat; Joel Niklaus (NLLP@EMNLP, 2022)

An Empirical Study on Cross-X Transfer for Legal Judgment Prediction. - Joel Niklaus; Matthias Stürmer; Ilias Chalkidis (AACL/IJCNLP (1), 2022)

BudgetLongformer: Can we Cheaply Pretrain a SotA Legal Language Model From Scratch? - Joel Niklaus; Daniele Giofré (CoRR, 2022)

LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domain. - Joel Niklaus; Veton Matoshi; Pooja Rani 001; Andrea Galassi; Matthias Stürmer; Ilias Chalkidis (EMNLP (Findings), 2023)

MultiLegalSBD: A Multilingual Legal Sentence Boundary Detection Dataset. - Tobias Brugger; Matthias Stürmer; Joel Niklaus (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)

Can we Pretrain a SotA Legal Language Model on a Budget From Scratch? - Joel Niklaus; Daniele Giofré (SustaiNLP, 2023)

SCALE: Scaling up the Complexity for Advanced Language Model Evaluation. - Vishvaksenan Rasiah; Ronja Stern; Veton Matoshi; Matthias Stürmer; Ilias Chalkidis; Daniel E. Ho; Joel Niklaus (CoRR, 2023)

Anonymity at Risk? Assessing Re-Identification Capabilities of Large Language Models. - Alex Nyffenegger; Matthias Stürmer; Joel Niklaus (CoRR, 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)

Automatic Anonymization of Swiss Federal Supreme Court Rulings. - Joel Niklaus; Robin Mamié; Matthias Stürmer; Daniel Brunner; Marcel Gygli (CoRR, 2023)

MultiLegalPile: A 689GB Multilingual Legal Corpus. - Joel Niklaus; Veton Matoshi; Matthias Stürmer; Ilias Chalkidis; Daniel E. Ho (ACL (1), 2024)

Resolving Legalese: A Multilingual Exploration of Negation Scope Resolution in Legal Documents. - Ramona Christen; Anastassia Shaitarova; Matthias Stürmer; Joel Niklaus (LREC/COLING, 2024)

Towards Explainability and Fairness in Swiss Judgement Prediction: Benchmarking on a Multilingual Dataset. - T. Y. S. S. Santosh; Nina Baumgartner; Matthias Stürmer; Matthias Grabmair; Joel Niklaus (LREC/COLING, 2024)

LegalLens: Leveraging LLMs for Legal Violation Identification in Unstructured Text. - Dor Bernsohn; Gil Semo; Yaron Vazana; Gila Hayat; Ben Hagag; Joel Niklaus; Rohit Saha; Kyryl Truskovskyi (EACL (1), 2024)

Anonymity at Risk? Assessing Re-Identification Capabilities of Large Language Models in Court Decisions. - Alex Nyffenegger; Matthias Stürmer; Joel Niklaus (NAACL-HLT (Findings), 2024)

FLawN-T5: An Empirical Examination of Effective Instruction-Tuning Data Mixtures for Legal Reasoning. - Joel Niklaus; Lucia Zheng; Arya D. McCarthy; Christopher Hahn; Brian M. Rosen; Peter Henderson 002; Daniel E. Ho; Garrett Honke; Percy Liang; Christopher D. Manning (CoRR, 2024)

Unlocking Legal Knowledge: A Multilingual Dataset for Judicial Summarization in Switzerland. - Luca Rolshoven; Vishvaksenan Rasiah; Srinanda Brügger Bose; Matthias Stürmer; Joel Niklaus (CoRR, 2024)

Breaking the Manual Annotation Bottleneck: Creating a Comprehensive Legal Case Criticality Dataset through Semi-Automated Labeling. - Ronja Stern; Ken Kawamura; Matthias Stürmer; Ilias Chalkidis; Joel Niklaus (CoRR, 2024)

ConLoan: A Contrastive Multilingual Dataset for Evaluating Loanwords. - Sina Ahmadi; Micha David Hess; Elena Álvarez Mellado; Alessia Battisti; Cui Ding; Anne Göhring; Yingqiang Gao; Zifan Jiang; Andrianos Michail; Peshmerge Morad; Joel Niklaus; Maria Christina Panagiotopoulou; et al. (ACL (1), 2025)

SwiLTra-Bench: The Swiss Legal Translation Benchmark. - Joel Niklaus; Jakob Merane; Luka Nenadic; Sina Ahmadi; Yingqiang Gao; Cyrill A. H. Chevalley; Claude Humbel; Christophe Gösken; Lorenzo Tanzi; Thomas Lüthi; Stefan Palombo; Spencer Poff; et al. (ACL (1), 2025)

INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge. - Angelika Romanou; Negar Foroutan; Anna Sotnikova; Zeming Chen 001; Sree Harsha Nelaturu; Shivalika Singh; Rishabh Maheshwary; Micol Altomare; Mohamed A. Haggag; Imanol Schlag; Marzieh Fadaee; Sara Hooker; et al. (ICLR, 2025)

LawInstruct: A Resource for Studying Language Model Adaptation to the Legal Domain. - Joel Niklaus; Lucia Zheng; Arya D. McCarthy; Christopher Hahn; Brian M. Rosen; Peter Henderson 002; Daniel E. Ho; Garrett Honke; Percy Liang; Christopher D. Manning (NAACL (Findings), 2025)

LEXam: Benchmarking Legal Reasoning on 340 Law Exams. - Yu Fan; Jingwei Ni; Jakob Merane; Etienne Salimbeni; Yang Tian; Yoan Hermstrüwer; Yinya Huang; Mubashara Akhtar; Florian Geering; Oliver Dreyer; Daniel Brunner; Markus Leippold; et al. (CoRR, 2025)

Parity-Aware Byte-Pair Encoding: Improving Cross-lingual Fairness in Tokenization. - Negar Foroutan; Clara Meister; Debjit Paul; Joel Niklaus; Sina Ahmadi; Antoine Bosselut; Rico Sennrich (CoRR, 2025)