--- title: "Law — papers, page 2" description: "Law: 55 papers of the Elamur Research library · page 2 of 3 — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/shelves/law/page/2/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/law/page/2/) [home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / [Law](https://md.research.elamur.ai/free/en/shelves/law/) / page 2 # ⚖️ Law 55 papers · page 2 of 3 · newest first · [all shelves](https://md.research.elamur.ai/free/en/shelves/) Legal reasoning and argumentation, law and AI, formal and Talmudic law, legal texts. [← prev](https://md.research.elamur.ai/free/en/shelves/law/) [1](https://md.research.elamur.ai/free/en/shelves/law/) **2** [3](https://md.research.elamur.ai/free/en/shelves/law/page/3/) [next →](https://md.research.elamur.ai/free/en/shelves/law/page/3/) - [ALJP: An Arabic Legal Judgment Prediction in Personal Status Cases Using Machine Learning Models](https://md.research.elamur.ai/free/en/papers/abbara-2023-aljp-arabic-legal-judgment-prediction/) — Salwa Abbara, Mona Hafez, Aya Kazzaz, et al. · 2023 - [Can GPT-3 Perform Statutory Reasoning?](https://md.research.elamur.ai/free/en/papers/blair-2023-stanek-gpt-3-perform-statutory-reasoning/) — Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme · 2023 - [Chatlaw: A Multi-Agent Legal Assistant based on a Role-Aligned Mixture-of-Experts Architecture](https://md.research.elamur.ai/free/en/papers/cui-2023-chatlaw-multi-agent-legal-assistant/) — Jiaxi Cui; Munan Ning; Zongjian Li; Bohua Chen; Yang Yan; Hao Li; Bin Ling; Yonghong Tian;, Li Yuan · 2023 - [LawBench: Benchmarking Legal Knowledge of Large Language Models](https://md.research.elamur.ai/free/en/papers/fei-2023-lawbench-benchmarking-legal-knowledge-large/) — Zhiwei Fei, Xiaoyu Shen, Dawei Zhu, et al. · 2023 - [Lawyer LLaMA Technical Report](https://md.research.elamur.ai/free/en/papers/huang-2023-lawyer-llama-technical-report/) — Quzhe Huang, Mingxu Tao, Chen Zhang, et al. · 2023 - [LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models](https://md.research.elamur.ai/free/en/papers/guha-2023-legalbench-collaboratively-built-benchmark-measuring/) — Neel Guha; Julian Nyarko; Daniel E. Ho; Christopher Re; 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 · 2023 - [LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domain](https://md.research.elamur.ai/free/en/papers/niklaus-2023-lextreme-multi-lingual-multi-task/) — Joel Niklaus, Veton Matoshi, Pooja Rani, et al. · 2023 - [On the Evaluation of Terminology Translation Errors in NMT and PB-SMT in the Legal Domain: a Study on the Translation of Arabic Legal Documents into English and French](https://md.research.elamur.ai/free/en/papers/elfqih-2023-evaluation-terminology-translation-errors-nmt/) — Khadija Ait ElFqih, Johanna Monti · 2023 - [Prediction of Arabic Legal Rulings using Large Language Models](https://md.research.elamur.ai/free/en/papers/ammar-2023-prediction-arabic-legal-rulings-using/) — Adel Ammar, Anis Koubaa, Bilel Benjdira, et al. · 2023 - [BTPK-based interpretable method for NER tasks based on Talmudic Public Announcement Logic](https://md.research.elamur.ai/free/en/papers/langstream-2022-chen-btpk-based-interpretable-method-ner/) — Yulin Chen; Beishui Liao; Bruno Bentzen; Bo Yuan; Zelai Yao; Haixiao Chi;, Dov Gabbay · 2022 - [Automated Extraction of Sentencing Decisions from Court Cases in the Hebrew Language](https://md.research.elamur.ai/free/en/papers/aclbulk-2021-wenger-automated-extraction-sentencing-decisions-court/) — Mohr Wenger, Tom Kalir, Noga Berger, et al. · 2021 - [CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review](https://md.research.elamur.ai/free/en/papers/hendrycks-2021-cuad-expert-annotated-nlp-dataset/) — Dan Hendrycks, Collin Burns, Anya Chen, et al. · 2021 - [ILDC for CJPE: Indian Legal Documents Corpus for Court Judgment Prediction and Explanation](https://md.research.elamur.ai/free/en/papers/malik-2021-ildc-cjpe-indian-legal-documents/) — Vijit Malik, Rishabh Sanjay, Shubham Kumar Nigam, et al. · 2021 - [LexGLUE: A Benchmark Dataset for Legal Language Understanding in English](https://md.research.elamur.ai/free/en/papers/chalkidis-2021-lexglue-benchmark-dataset-legal-language/) — Ilias Chalkidis; Abhik Jana; Dirk Hartung; Michael Bommarito; Ion Androutsopoulos; Daniel Martin Katz;, Nikolaos Aletras · 2021 - [MultiEURLEX - A multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transfer](https://md.research.elamur.ai/free/en/papers/chalkidis-2021-multieurlex-multi-lingual-multi-label/) — Ilias Chalkidis, Manos Fergadiotis, Ion Androutsopoulos · 2021 - [On Releasing Annotator-Level Labels and Information in Datasets](https://md.research.elamur.ai/free/en/papers/prabhakaran-2021-releasing-annotator-level-labels-information/) — Vinodkumar Prabhakaran, Aida Mostafazadeh Davani, Mark Diaz · 2021 - [Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Cases](https://md.research.elamur.ai/free/en/papers/chalkidis-2021-paragraph-level-rationale-extraction-through/) — Ilias Chalkidis, Manos Fergadiotis, Dimitrios Tsarapatsanis, et al. · 2021 - [Swiss-Judgment-Prediction: A Multilingual Legal Judgment Prediction Benchmark](https://md.research.elamur.ai/free/en/papers/niklaus-2021-swiss-judgment-prediction-multilingual-legal/) — Joel Niklaus, Ilias Chalkidis, Matthias Stürmer · 2021 - [Distinguish Confusing Law Articles for Legal Judgment Prediction](https://md.research.elamur.ai/free/en/papers/xu-2020-distinguish-confusing-law-articles-legal/) — Nuo Xu, Pinghui Wang, Long Chen, et al. · 2020 - [How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence](https://md.research.elamur.ai/free/en/papers/zhong-2020-how-does-nlp-benefit-legal/) — Haoxi Zhong, Chaojun Xiao, Cunchao Tu, et al. · 2020 - [LEDGAR: A Large-Scale Multi-label Corpus for Text Classification of Legal Provisions in Contracts](https://md.research.elamur.ai/free/en/papers/tuggener-2020-ledgar-large-scale-multi-label/) — Don Tuggener, Pius von Däniken, Thomas Peetz, et al. · 2020 - [LEGAL-BERT: The Muppets straight out of Law School](https://md.research.elamur.ai/free/en/papers/chalkidis-2020-legal-bert-muppets-straight-out/) — Ilias Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis, et al. · 2020 - [BillSum: A Corpus for Automatic Summarization of US Legislation](https://md.research.elamur.ai/free/en/papers/kornilova-2019-billsum-corpus-automatic-summarization-us/) — Anastassia Kornilova, Vladimir Eidelman · 2019 - [Large-Scale Multi-Label Text Classification on EU Legislation](https://md.research.elamur.ai/free/en/papers/chalkidis-2019-large-scale-multi-label-text/) — Ilias Chalkidis, Emmanouil Fergadiotis, Prodromos Malakasiotis, et al. · 2019 - [Neural Legal Judgment Prediction in English](https://md.research.elamur.ai/free/en/papers/chalkidis-2019-neural-legal-judgment-prediction-english/) — Ilias Chalkidis, Ion Androutsopoulos, Nikolaos Aletras · 2019 [← prev](https://md.research.elamur.ai/free/en/shelves/law/) [1](https://md.research.elamur.ai/free/en/shelves/law/) **2** [3](https://md.research.elamur.ai/free/en/shelves/law/page/3/) [next →](https://md.research.elamur.ai/free/en/shelves/law/page/3/)