--- title: "Political Science and International Relations — papers" description: "Political Science and International Relations: 65 papers of the Elamur Research library · page 1 of 2 · 1–25, the most cited first — our summary of each…" canonical: "https://research.elamur.ai/free/en/shelves/social-sciences/political-science-and-international-relations/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/social-sciences/political-science-and-international-relations/) [home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / [Social Sciences](https://md.research.elamur.ai/free/en/shelves/social-sciences/) / Political Science and International Relations # 🤝 Political Science and International Relations 65 papers · page 1 of 2 · 1–25 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/) Political Science and International Relations is a subfield of Social Sciences in the OpenAlex classification of science. The topics most of its papers here are on: «Artificial Intelligence in Law», «Religion, Theology, History, Judaism, Christianity», «African history and culture analysis». ## Papers **1** [2](https://md.research.elamur.ai/free/en/shelves/social-sciences/political-science-and-international-relations/page/2/) [next →](https://md.research.elamur.ai/free/en/shelves/social-sciences/political-science-and-international-relations/page/2/) 1. [**LEGAL-BERT: The Muppets straight out of Law School**Ilias Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis, et al.*2020 · 1,490 citations*](https://md.research.elamur.ai/free/en/papers/chalkidis-2020-legal-bert-muppets-straight-out/) 2. [**Neural Legal Judgment Prediction in English**Ilias Chalkidis, Ion Androutsopoulos, Nikolaos Aletras*2019 · 558 citations*](https://md.research.elamur.ai/free/en/papers/chalkidis-2019-neural-legal-judgment-prediction-english/) 3. [**How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence**Haoxi Zhong, Chaojun Xiao, Cunchao Tu, et al.*2020 · 518 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2020-how-does-nlp-benefit-legal/) 4. [**The Social Impact of Natural Language Processing**Dirk Hovy, Shannon L. Spruit*2016 · 516 citations*](https://md.research.elamur.ai/free/en/papers/hovy-2016-social-impact-natural-language-processing/) 5. [**Legal Judgment Prediction via Topological Learning**Haoxi Zhong, Zhipeng Guo, Cunchao Tu, et al.*2018 · 480 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2018-legal-judgment-prediction-topological-learning/) 6. [**Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models**Matthew Dahl, Varun Magesh, Mirac Suzgun, et al.*2024 · 431 citations*](https://md.research.elamur.ai/free/en/papers/dahl-2024-large-legal-fictions-profiling-legal/) 7. [**LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models**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 · 379 citations*](https://md.research.elamur.ai/free/en/papers/guha-2023-legalbench-collaboratively-built-benchmark-measuring/) 8. [**CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction**Chaojun Xiao, Haoxi Zhong, Zhipeng Guo, et al.*2018 · 375 citations*](https://md.research.elamur.ai/free/en/papers/xiao-2018-cail2018-large-scale-legal-dataset/) 9. [**Get out the vote: Determining support or opposition from Congressional floor-debate transcripts**Matt Thomas, Bo Pang, Lillian Lee*2006 · 307 citations*](https://md.research.elamur.ai/free/en/papers/thomas-2006-get-out-vote-determining-support/) 10. [**Large-Scale Multi-Label Text Classification on EU Legislation**Ilias Chalkidis, Emmanouil Fergadiotis, Prodromos Malakasiotis, et al.*2019 · 283 citations*](https://md.research.elamur.ai/free/en/papers/chalkidis-2019-large-scale-multi-label-text/) 11. [**Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools**Varun Magesh, Faiz Surani, Matthew Dahl, et al.*2024 · 267 citations*](https://md.research.elamur.ai/free/en/papers/magesh-2024-hallucination-free-assessing-reliability-leading/) 12. [**CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review**Dan Hendrycks, Collin Burns, Anya Chen, et al.*2021 · 265 citations*](https://md.research.elamur.ai/free/en/papers/hendrycks-2021-cuad-expert-annotated-nlp-dataset/) 13. [**Distinguish Confusing Law Articles for Legal Judgment Prediction**Nuo Xu, Pinghui Wang, Long Chen, et al.*2020 · 258 citations*](https://md.research.elamur.ai/free/en/papers/xu-2020-distinguish-confusing-law-articles-legal/) 14. [**LexGLUE: A Benchmark Dataset for Legal Language Understanding in English**Ilias Chalkidis; Abhik Jana; Dirk Hartung; Michael Bommarito; Ion Androutsopoulos; Daniel Martin Katz;, Nikolaos Aletras*2021 · 256 citations*](https://md.research.elamur.ai/free/en/papers/chalkidis-2021-lexglue-benchmark-dataset-legal-language/) 15. [**ILDC for CJPE: Indian Legal Documents Corpus for Court Judgment Prediction and Explanation**Vijit Malik, Rishabh Sanjay, Shubham Kumar Nigam, et al.*2021 · 251 citations*](https://md.research.elamur.ai/free/en/papers/malik-2021-ildc-cjpe-indian-legal-documents/) 16. [**Chatlaw: A Multi-Agent Legal Assistant based on a Role-Aligned Mixture-of-Experts Architecture**Jiaxi Cui; Munan Ning; Zongjian Li; Bohua Chen; Yang Yan; Hao Li; Bin Ling; Yonghong Tian;, Li Yuan*2023 · 246 citations*](https://md.research.elamur.ai/free/en/papers/cui-2023-chatlaw-multi-agent-legal-assistant/) 17. [**Cross-topic Argument Mining from Heterogeneous Sources**Christian Stab, Tristan Miller, Benjamin Schiller, et al.*2018 · 228 citations*](https://md.research.elamur.ai/free/en/papers/stab-2018-cross-topic-argument-mining-heterogeneous/) 18. [**Few-Shot Charge Prediction with Discriminative Legal Attributes**Zikun Hu, Xiang Li, Cunchao Tu, et al.*2018 · 221 citations*](https://md.research.elamur.ai/free/en/papers/hu-2018-few-shot-charge-prediction-discriminative/) 19. [**LawBench: Benchmarking Legal Knowledge of Large Language Models**Zhiwei Fei, Xiaoyu Shen, Dawei Zhu, et al.*2023 · 184 citations*](https://md.research.elamur.ai/free/en/papers/fei-2023-lawbench-benchmarking-legal-knowledge-large/) 20. [**ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts**Yuta Koreeda, Christopher Manning*2021 · 177 citations*](https://md.research.elamur.ai/free/en/papers/koreeda-2021-contractnli-dataset-document-level-natural/) 21. [**BillSum: A Corpus for Automatic Summarization of US Legislation**Anastassia Kornilova, Vladimir Eidelman*2019 · 173 citations*](https://md.research.elamur.ai/free/en/papers/kornilova-2019-billsum-corpus-automatic-summarization-us/) 22. [**Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Cases**Ilias Chalkidis, Manos Fergadiotis, Dimitrios Tsarapatsanis, et al.*2021 · 167 citations*](https://md.research.elamur.ai/free/en/papers/chalkidis-2021-paragraph-level-rationale-extraction-through/) 23. [**Lawyer LLaMA Technical Report**Quzhe Huang, Mingxu Tao, Chen Zhang, et al.*2023 · 155 citations*](https://md.research.elamur.ai/free/en/papers/huang-2023-lawyer-llama-technical-report/) 24. [**CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question Answering**Nirmalie Wiratunga, Ramitha Abeyratne, Lasal Jayawardena, et al.*2024 · 154 citations*](https://md.research.elamur.ai/free/en/papers/wiratunga-2024-cbr-rag-case-based-reasoning/) 25. [**Can GPT-3 Perform Statutory Reasoning?**Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme*2023 · 153 citations*](https://md.research.elamur.ai/free/en/papers/blair-stanek-2023-gpt-3-perform-statutory-reasoning/) **1** [2](https://md.research.elamur.ai/free/en/shelves/social-sciences/political-science-and-international-relations/page/2/) [next →](https://md.research.elamur.ai/free/en/shelves/social-sciences/political-science-and-international-relations/page/2/) Updated 23 October 2026 - [← previous subfield Law](https://md.research.elamur.ai/free/en/shelves/social-sciences/law/) - [next subfield → Safety Research](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) - [↑ back to Social Sciences](https://md.research.elamur.ai/free/en/shelves/social-sciences/)