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Joel Niklaus

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Conference and Workshop Papers

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2024
[c15]
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Joel Niklaus, Veton Matoshi, Matthias Stürmer, Ilias Chalkidis, Daniel E. Ho:
MultiLegalPile: A 689GB Multilingual Legal Corpus. ACL (1) 2024: 15077-15094
[c14]
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Ramona Christen, Anastassia Shaitarova, Matthias Stürmer, Joel Niklaus:
Resolving Legalese: A Multilingual Exploration of Negation Scope Resolution in Legal Documents. LREC/COLING 2024: 13992-14004
[c13]
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T. Y. S. S. Santosh, Nina Baumgartner, Matthias Stürmer, Matthias Grabmair, Joel Niklaus:
Towards Explainability and Fairness in Swiss Judgement Prediction: Benchmarking on a Multilingual Dataset. LREC/COLING 2024: 16500-16513
[c12]
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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. EACL (1) 2024: 2129-2145
[c11]
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Alex Nyffenegger, Matthias Stürmer, Joel Niklaus:
Anonymity at Risk? Assessing Re-Identification Capabilities of Large Language Models in Court Decisions. NAACL-HLT (Findings) 2024: 2433-2462
2023
[c10]
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Joel Niklaus, Veton Matoshi, Pooja Rani, Andrea Galassi, Matthias Stürmer, Ilias Chalkidis:
LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domain. EMNLP (Findings) 2023: 3016-3054
[c9]
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Tobias Brugger, Matthias Stürmer, Joel Niklaus:
MultiLegalSBD: A Multilingual Legal Sentence Boundary Detection Dataset. ICAIL 2023: 42-51
[c8]
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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:
LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models. NeurIPS 2023
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Joel Niklaus, Daniele Giofré:
Can we Pretrain a SotA Legal Language Model on a Budget From Scratch? SustaiNLP 2023: 158-182
2022
[c6]
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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. NLLP@EMNLP 2022: 31-46
[c5]
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Joel Niklaus, Matthias Stürmer, Ilias Chalkidis:
An Empirical Study on Cross-X Transfer for Legal Judgment Prediction. AACL/IJCNLP (1) 2022: 32-46
2021
[c4]
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Joel Niklaus, Ilias Chalkidis, Matthias Stürmer:
Swiss-Judgment-Prediction: A Multilingual Legal Judgment Prediction Benchmark. NLLP@EMNLP 2021: 19-35
2020
[c3]
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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. ICAISC (2) 2020: 505-517
2019
[c2]
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Joel Niklaus, Michele Alberti, Vinaychandran Pondenkandath, Rolf Ingold, Marcus Liwicki:
Survey of Artificial Intelligence for Card Games and Its Application to the Swiss Game Jass. SDS 2019: 25-30
2018
[c1]
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Zhongliang Zhao, Jose Luis Carrera, Joel Niklaus, Torsten Braun:
Machine Learning-Based Real-Time Indoor Landmark Localization. WWIC 2018: 95-106

Informal and Other Publications

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2024
[i16]
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  - journals/corr/abs-2402-04335
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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. CoRR abs/2402.04335 (2024)
[i15]
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T. Y. S. S. Santosh, Nina Baumgartner, Matthias Stürmer, Matthias Grabmair, Joel Niklaus:
Towards Explainability and Fairness in Swiss Judgement Prediction: Benchmarking on a Multilingual Dataset. CoRR abs/2402.17013 (2024)
[i14]
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  - journals/corr/abs-2404-02127
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Joel Niklaus, Lucia Zheng, Arya D. McCarthy, Christopher Hahn, Brian M. Rosen, Peter Henderson, Daniel E. Ho, Garrett Honke, Percy Liang, Christopher D. Manning:
FLawN-T5: An Empirical Examination of Effective Instruction-Tuning Data Mixtures for Legal Reasoning. CoRR abs/2404.02127 (2024)
2023
[i13]
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  - journals/corr/abs-2301-13126
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Joel Niklaus, Veton Matoshi, Pooja Rani, Andrea Galassi, Matthias Stürmer, Ilias Chalkidis:
LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domain. CoRR abs/2301.13126 (2023)
[i12]
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  - journals/corr/abs-2305-01211
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Tobias Brugger, Matthias Stürmer, Joel Niklaus:
MultiLegalSBD: A Multilingual Legal Sentence Boundary Detection Dataset. CoRR abs/2305.01211 (2023)
[i11]
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  - journals/corr/abs-2306-02069
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Joel Niklaus, Veton Matoshi, Matthias Stürmer, Ilias Chalkidis, Daniel E. Ho:
MultiLegalPile: A 689GB Multilingual Legal Corpus. CoRR abs/2306.02069 (2023)
[i10]
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  - journals/corr/abs-2306-09237
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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. CoRR abs/2306.09237 (2023)
[i9]
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  - journals/corr/abs-2308-11103
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Alex Nyffenegger, Matthias Stürmer, Joel Niklaus:
Anonymity at Risk? Assessing Re-Identification Capabilities of Large Language Models. CoRR abs/2308.11103 (2023)
[i8]
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  - journals/corr/abs-2308-11462
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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:
LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models. CoRR abs/2308.11462 (2023)
[i7]
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  - journals/corr/abs-2309-08695
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Ramona Christen, Anastassia Shaitarova, Matthias Stürmer, Joel Niklaus:
Resolving Legalese: A Multilingual Exploration of Negation Scope Resolution in Legal Documents. CoRR abs/2309.08695 (2023)
[i6]
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  - journals/corr/abs-2310-04632
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Joel Niklaus, Robin Mamié, Matthias Stürmer, Daniel Brunner, Marcel Gygli:
Automatic Anonymization of Swiss Federal Supreme Court Rulings. CoRR abs/2310.04632 (2023)
2022
[i5]
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  - journals/corr/abs-2209-12325
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Joel Niklaus, Matthias Stürmer, Ilias Chalkidis:
An Empirical Study on Cross-X Transfer for Legal Judgment Prediction. CoRR abs/2209.12325 (2022)
[i4]
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  - journals/corr/abs-2211-00582
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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. CoRR abs/2211.00582 (2022)
[i3]
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  - journals/corr/abs-2211-17135
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Joel Niklaus, Daniele Giofré:
BudgetLongformer: Can we Cheaply Pretrain a SotA Legal Language Model From Scratch? CoRR abs/2211.17135 (2022)
2021
[i2]
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  - journals/corr/abs-2110-00806
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Joel Niklaus, Ilias Chalkidis, Matthias Stürmer:
Swiss-Judgment-Prediction: A Multilingual Legal Judgment Prediction Benchmark. CoRR abs/2110.00806 (2021)
2019
[i1]
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  - journals/corr/abs-1906-04439
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Joel Niklaus, Michele Alberti, Vinaychandran Pondenkandath, Rolf Ingold, Marcus Liwicki:
Survey of Artificial Intelligence for Card Games and Its Application to the Swiss Game Jass. CoRR abs/1906.04439 (2019)

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