{"total":26,"rows":[{"id":"2110.00976","title":"LexGLUE: A Benchmark Dataset for Legal Language Understanding in English","created":"2021-10-03","cited_by_count":310,"area":null},{"id":"2110.07574","title":"Can Machines Learn Morality? The Delphi Experiment","created":"2021-10-14","cited_by_count":141,"area":null},{"id":"2301.13126","title":"LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domain","created":"2023-01-30","cited_by_count":68,"area":null},{"id":"2110.00806","title":"Swiss-Judgment-Prediction: A Multilingual Legal Judgment Prediction Benchmark","created":"2021-10-02","cited_by_count":60,"area":null},{"id":"2306.02069","title":"MultiLegalPile: A 689GB Multilingual Legal Corpus","created":"2023-06-03","cited_by_count":60,"area":null},{"id":"2305.07507","title":"LeXFiles and LegalLAMA: Facilitating English Multinational Legal Language Model Development","created":"2023-05-12","cited_by_count":54,"area":null},{"id":"2203.07228","title":"FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing","created":"2022-03-14","cited_by_count":49,"area":null},{"id":"2203.08556","title":"LEVEN: A Large-Scale Chinese Legal Event Detection Dataset","created":"2022-03-16","cited_by_count":36,"area":null},{"id":"2211.00582","title":"ClassActionPrediction: A Challenging Benchmark for Legal Judgment Prediction of Class Action Cases in the US","created":"2022-11-01","cited_by_count":17,"area":null},{"id":"2209.12325","title":"An Empirical Study on Cross-X Transfer for Legal Judgment Prediction","created":"2022-09-25","cited_by_count":16,"area":null},{"id":"2308.05502","title":"Bringing order into the realm of Transformer-based language models for artificial intelligence and law","created":"2023-08-10","cited_by_count":13,"area":null},{"id":"2205.04525","title":"Towards a multi-stakeholder value-based assessment framework for algorithmic systems","created":"2022-05-09","cited_by_count":12,"area":null},{"id":"2302.00768","title":"Leveraging Task Dependency and Contrastive Learning for Case Outcome Classification on European Court of Human Rights Cases","created":"2023-02-01","cited_by_count":12,"area":null},{"id":"2402.04335","title":"LegalLens: Leveraging LLMs for Legal Violation Identification in Unstructured Text","created":"2024-02-06","cited_by_count":12,"area":null},{"id":"2108.07865","title":"Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2021): Workshop and Shared Task Report","created":"2021-08-17","cited_by_count":9,"area":null},{"id":"2301.12847","title":"Finding the Law: Enhancing Statutory Article Retrieval via Graph Neural Networks","created":"2023-01-30","cited_by_count":9,"area":null},{"id":"2310.14346","title":"The Law and NLP: Bridging Disciplinary Disconnects","created":"2023-10-22","cited_by_count":8,"area":null},{"id":"2305.12544","title":"Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models","created":"2023-05-21","cited_by_count":7,"area":null},{"id":"2308.11103","title":"Anonymity at Risk? Assessing Re-Identification Capabilities of Large Language Models","created":"2023-08-22","cited_by_count":7,"area":null},{"id":"2402.17013","title":"Towards Explainability and Fairness in Swiss Judgement Prediction: Benchmarking on a Multilingual Dataset","created":"2024-02-26","cited_by_count":7,"area":null},{"id":"2310.05553","title":"Regulation and NLP (RegNLP): Taming Large Language Models","created":"2023-10-09","cited_by_count":5,"area":null},{"id":"2501.14114","title":"LeCoPCR: Legal Concept-guided Prior Case Retrieval for European Court of Human Rights cases","created":"2025-01-23","cited_by_count":5,"area":null},{"id":"2409.18644","title":"Incorporating Precedents for Legal Judgement Prediction on European Court of Human Rights Cases","created":"2024-09-27","cited_by_count":4,"area":null},{"id":"2409.01357","title":"Know When to Fuse: Investigating Non-English Hybrid Retrieval in the Legal Domain","created":"2024-09-02","cited_by_count":1,"area":null},{"id":"2312.00584","title":"The Ethics of Automating Legal Actors","created":"2023-12-01","cited_by_count":0,"area":null},{"id":"2609.34986","title":"N\\\"urnberg NLP at ChildSafeAds 2026: Structurally Dissimilar Voter Ensembles under Four Levels of Data Access","created":"2026-09-28","cited_by_count":0,"area":null}],"next_cursor":null}