Who cites Daniel Preoţiuc-Pietro
- A general approach for predicting the behavior of the Supreme Court of the United StatesPLoS ONEDaniel Martin Katz, Michael J. Bommarito, Josh Blackman2017 · 598 citations
- Neural Legal Judgment Prediction in EnglishAnnual Meeting of the Association for Computational Linguistics (ACL)Ilias Chalkidis, Ion Androutsopoulos, Nikolaos Aletras2019 · 559 citations
- How Does NLP Benefit Legal System: A Summary of Legal Artificial IntelligenceAnnual Meeting of the Association for Computational Linguistics (ACL)Haoxi Zhong, Chaojun Xiao, Cunchao Tu, et al.2020 · 518 citations
- Legal Judgment Prediction via Topological LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Haoxi Zhong, Zhipeng Guo, Cunchao Tu, et al.2018 · 480 citations
- BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical DomainsFindings of the Association for Computational LinguisticsYanis Labrak, Adrien Bazoge, Emmanuel Morin, et al.2024 · 409 citations
- CAIL2018: A Large-Scale Legal Dataset for Judgment PredictionarXiv:1807.02478Chaojun Xiao, Haoxi Zhong, Zhipeng Guo, et al.2018 · 375 citations
- TIES-Merging: Resolving Interference When Merging ModelsConference on Neural Information Processing Systems (NeurIPS)Prateek Yadav, Derek Tam, Leshem Choshen, et al.2023 · 324 citations
- Large-Scale Multi-Label Text Classification on EU LegislationAnnual Meeting of the Association for Computational Linguistics (ACL)Ilias Chalkidis, Emmanouil Fergadiotis, Prodromos Malakasiotis, et al.2019 · 283 citations
- LexGLUE: A Benchmark Dataset for Legal Language Understanding in EnglisharXiv:2110.00976Ilias Chalkidis; Abhik Jana; Dirk Hartung; Michael Bommarito; Ion Androutsopoulos; Daniel Martin Katz;, Nikolaos Aletras2021 · 258 citations
- ILDC for CJPE: Indian Legal Documents Corpus for Court Judgment Prediction and ExplanationAnnual Meeting of the Association for Computational Linguistics (ACL)Vijit Malik, Rishabh Sanjay, Shubham Kumar Nigam, et al.2021 · 251 citations
- CLAUDETTE: an Automated Detector of Potentially Unfair Clauses in Online Terms of ServicearXiv:1805.01217 · Artif. Intell. Law 27 (2019) 117-139Marco Lippi, Przemyslaw Palka, Giuseppe Contissa, et al.2018 · 246 citations
- LexGLUE: A Benchmark Dataset for Legal Language Understanding in EnglishAnnual Meeting of the Association for Computational Linguistics (ACL)Ilias Chalkidis, Abhik Jana, Dirk Hartung, et al.2022 · 239 citations
- Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free LuncharXiv:2311.03099Le Yu, Bowen Yu, Haiyang Yu, et al.2023 · 217 citations
- Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights CasesConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Ilias Chalkidis, Manos Fergadiotis, Dimitrios Tsarapatsanis, et al.2021 · 168 citations
- MultiEURLEX - A multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transferConference on Empirical Methods in Natural Language Processing (EMNLP)Ilias Chalkidis, Manos Fergadiotis, Ion Androutsopoulos2021 · 160 citations
- When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD DatasetarXiv:2104.08671Lucia Zheng, Neel Guha, Brandon R. Anderson, et al.2021 · 134 citations
- Swiss-Judgment-Prediction: A Multilingual Legal Judgment Prediction BenchmarkNatural Legal Language Processing WorkshopJoel Niklaus, Ilias Chalkidis, Matthias Stürmer2021 · 129 citations
- SaulLM-7B: A pioneering Large Language Model for LawarXiv:2403.03883Pierre Colombo, Telmo Pessoa Pires, Malik Boudiaf, et al.2024 · 119 citations
- LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA CompositionarXiv:2307.13269Chengsong Huang, Qian Liu, Bill Yuchen Lin, et al.2023 · 108 citations
- Arcee's MergeKit: A Toolkit for Merging Large Language ModelsarXiv:2403.13257Charles Goddard, Shamane Siriwardhana, Malikeh Ehghaghi, et al.2024 · 105 citations
- LLMs Are Few-Shot In-Context Low-Resource Language LearnersConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Samuel Cahyawijaya, Holy Lovenia, Pascale Fung2024 · 93 citations
- Knowledge Fusion of Large Language ModelsarXiv:2401.10491Fanqi Wan, Xinting Huang, Deng Cai, et al.2024 · 82 citations
- Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and OpportunitiesarXiv:2408.07666Enneng Yang, Li Shen, Guibing Guo, et al.2024 · 79 citations
- AdaMerging: Adaptive Model Merging for Multi-Task LearningarXiv:2310.02575Enneng Yang, Zhenyi Wang, Li Shen, et al.2023 · 59 citations
- Dialect prejudice predicts AI decisions about people's character, employability, and criminalityarXiv:2403.00742Valentin Hofmann, Pratyusha Ria Kalluri, Dan Jurafsky, et al.2024 · 57 citations
- Personalized Pieces: Efficient Personalized Large Language Models through Collaborative EffortsConference on Empirical Methods in Natural Language Processing (EMNLP)Zhaoxuan Tan, Zheyuan Liu, Meng Jiang2024 · 40 citations
- FuseChat: Knowledge Fusion of Chat ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Fanqi Wan, Longguang Zhong, Ziyi Yang, et al.2025 · 25 citations
- CUTE: A Multilingual Dataset for Enhancing Cross-Lingual Knowledge Transfer in Low-Resource LanguagesInternational Conference on Computational Linguistics (COLING)Wenhao Zhuang, Yuan Sun2025 · 7 citations
- LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-DisjointAnnual Meeting of the Association for Computational Linguistics (ACL)Qianli Ma, Dongrui Liu, Qian Chen, et al.2025 · 5 citations
- ALJP: An Arabic Legal Judgment Prediction in Personal Status Cases Using Machine Learning ModelsarXiv:2309.00238Salwa Abbara, Mona Hafez, Aya Kazzaz, et al.2023 · 4 citations
- Accurate Legal Reasoning at Scale: Neuro-Symbolic Offloading and Structural Auditability for Robust Legal AdjudicationAnnual Meeting of the Association for Computational Linguistics (ACL)Stanisław Sójka, Witold Kowalczyk2026 · 2 citations
- Why Do More Experts Fail? A Theoretical Analysis of Model MergingAnnual Meeting of the Association for Computational Linguistics (ACL)Zijing Wang, Xingle Xu, YongKang Liu, et al.2026 · 2 citations
- H3Fusion: Helpful, Harmless, Honest Fusion of Aligned LLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Selim Furkan Tekin, Fatih Ilhan, Sihao Hu, et al.2026 · 1 citation
- DivMerge: A divergence-based model merging method for multi-taskingConference of the European Chapter of the Association for Computational Linguistics (EACL)Brahim Touayouch, Loïc Fosse, Géraldine Damnati, et al.2026
- Investigating Cross-Modal Skill Injection: Scenarios, Methods, and HyperparametersAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiyu Xu, Lean Wang, Yuanxin Liu, et al.2026
- On the Representation Geometry of LoRA Model MergingFindings of the Association for Computational LinguisticsChenyang Lu, Jiaru Li, Jinman Zhao, et al.2026
- ReasonAny: Incorporating Reasoning Capability to Any Model via Simple and Effective Model MergingAnnual Meeting of the Association for Computational Linguistics (ACL)Junyao Yang, Chen Qian, Wen Shen, et al.2026
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