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LegalLens: Leveraging LLMs for Legal Violation Identification in Unstructured Text.

, , , , , , , and . EACL (1), page 2129-2145. Association for Computational Linguistics, (2024)

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Anonymity at Risk? Assessing Re-Identification Capabilities of Large Language Models., , and . CoRR, (2023)Machine Learning-Based Real-Time Indoor Landmark Localization., , , and . WWIC, volume 10866 of Lecture Notes in Computer Science, page 95-106. Springer, (2018)Can we Pretrain a SotA Legal Language Model on a Budget From Scratch?, and . SustaiNLP, page 158-182. Association for Computational Linguistics, (2023)An Empirical Study on Cross-X Transfer for Legal Judgment Prediction., , and . AACL/IJCNLP (1), page 32-46. Association for Computational Linguistics, (2022)Resolving Legalese: A Multilingual Exploration of Negation Scope Resolution in Legal Documents., , , and . CoRR, (2023)MultiLegalPile: A 689GB Multilingual Legal Corpus., , , , and . CoRR, (2023)Swiss-Judgment-Prediction: A Multilingual Legal Judgment Prediction Benchmark., , and . NLLP@EMNLP, page 19-35. Association for Computational Linguistics, (2021)Survey of Artificial Intelligence for Card Games and Its Application to the Swiss Game Jass., , , , and . SDS, page 25-30. IEEE, (2019)LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domain., , , , , and . EMNLP (Findings), page 3016-3054. Association for Computational Linguistics, (2023)BudgetLongformer: Can we Cheaply Pretrain a SotA Legal Language Model From Scratch?, and . CoRR, (2022)