Who cites Veton Matoshi
- LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language ModelsarXiv:2308.11462Neel 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 Li2023 · 389 citations
- Aya Dataset: An Open-Access Collection for Multilingual Instruction TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Shivalika Singh, Freddie Vargus, Daniel D'souza, et al.2024 · 207 citations
- LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal DomainFindings of the Association for Computational LinguisticsJoel Niklaus, Veton Matoshi, Pooja Rani, et al.2023 · 123 citations
- SaulLM-7B: A pioneering Large Language Model for LawarXiv:2403.03883Pierre Colombo, Telmo Pessoa Pires, Malik Boudiaf, et al.2024 · 119 citations
- LeXFiles and LegalLAMA: Facilitating English Multinational Legal Language Model DevelopmentAnnual Meeting of the Association for Computational Linguistics (ACL)Ilias Chalkidis, Nicolas Garneau, Catalina Goanta, et al.2023 · 83 citations
- LAiW: A Chinese Legal Large Language Models BenchmarkInternational Conference on Computational Linguistics (COLING)Yongfu Dai, Duanyu Feng, Jimin Huang, et al.2025 · 35 citations
- Enhancing Multilingual Capabilities of Large Language Models through Self-Distillation from Resource-Rich LanguagesAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanchi Zhang, Yile Wang, Zijun Liu, et al.2024 · 30 citations
- One Law, Many Languages: Benchmarking Multilingual Legal Reasoning for Judicial SupportarXiv:2306.09237Ronja Stern, Vishvaksenan Rasiah, Veton Matoshi, et al.2023 · 29 citations
- Developing a Pragmatic Benchmark for Assessing Korean Legal Language Understanding in Large Language ModelsFindings of the Association for Computational LinguisticsYeeun Kim, Youngrok Choi, Eunkyung Choi, et al.2024 · 24 citations
- LexSumm and LexT5: Benchmarking and Modeling Legal Summarization Tasks in EnglishNatural Legal Language Processing WorkshopSantosh T.Y.S.S, Cornelius Weiss, Matthias Grabmair2024 · 16 citations
- Dolomites: Domain-Specific Long-Form Methodical TasksTransactions of the Association for Computational Linguistics (TACL)Chaitanya Malaviya, Priyanka Agrawal, Kuzman Ganchev, et al.2025 · 12 citations
- MAWARITH: A Dataset and Benchmark for Legal Inheritance Reasoning with LLMsarXiv:2603.07539Abdessalam Bouchekif; Shahd Gaben; Samer Rashwani; Somaya Eltanbouly; Mutaz Al-Khatib; Heba Sbahi; Mohammed Ghaly;, Emad Mohamed2026 · 9 citations
- The Tokenizer Tax Across 25 European Languages: Domain Invariance, Cross-Lingual Few-Shot Effects, and the Ukrainian PenaltyarXiv:2605.24718Volodymyr Ovcharov2026 · 3 citations
- ALARB: An Arabic Legal Argument Reasoning BenchmarkArabic Natural Language Processing Conference (ArabicNLP)Harethah Abu Shairah, Somayah AlHarbi, Abdulaziz AlHussein, et al.2025 · 3 citations
- Evaluating Customized vs. Generalist Transformer-based Models for Legal Contract ClassificationWorkshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or IndividualAmrita Singh, H. Suhan Karaca, Aditya Joshi, et al.2026 · 2 citations
- OpenExempt: A Diagnostic Benchmark for Legal Reasoning and a Framework for Creating Custom Benchmarks on DemandFindings of the Association for Computational LinguisticsSergio Servantez, Sarah B. Lawsky, Rajiv Jain, et al.2026 · 2 citations
- Sycophants in the Courtroom: Are LLMs Fragile to Juridical Authority and Evolving Legal Standards?Annual Meeting of the Association for Computational Linguistics (ACL)Lorenzo Molfetta, Alessio Cocchieri, Luca Ragazzi, et al.2026 · 2 citations
- Compressing Language Models for Specialized DomainsConference of the European Chapter of the Association for Computational Linguistics (EACL)Miles Williams, George Chrysostomou, Vitor Amancio Jeronymo, et al.2026
- From Global Benchmarks to Local Evaluations: Benchmarking LLMs for the German Public SectorarXiv:2608.17827Camilla Dalerci, Thilo Michael, Robin Schaefer, et al.2026
- SiLP: Enhancing Non-Dominant Language Capabilities with a Selective Bidirectional Language Projection FrameworkAnnual Meeting of the Association for Computational Linguistics (ACL)Junpeng Liu, Jiuyi Li, Kaiyu Huang, et al.2026
- ViLegalLM: Language Models for Vietnamese Legal TextFindings of the Association for Computational LinguisticsTruong-Phuc Nguyen, Quy-Nhan Nguyen, Minh-Tien Nguyen2026
This page in Markdown → https://md.research.elamur.ai/free/en/authors/veton-matoshi/cited-by/