Exploiting Contrastive Learning and Numerical Evidence for Confusing
Legal Judgment Prediction

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Exploiting Contrastive Learning and Numerical Evidence for Confusing Legal Judgment Prediction

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022

15 November 2022

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Papers citing "Exploiting Contrastive Learning and Numerical Evidence for Confusing Legal Judgment Prediction"

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Title
RLJP: Legal Judgment Prediction via First-Order Logic Rule-enhanced with Large Language Models Yue Zhang Zhiliang Tian S. Kevin Zhou Huaimin Wang Wenqing Hou Y. Liu Xuechen Zhao Shiyu Huang Ye Wang B. Zhou AILaw ELM 299 1 0 27 May 2025
A Law Reasoning Benchmark for LLM with Tree-Organized Structures including Factum Probandum, Evidence and ExperiencesAnnual Meeting of the Association for Computational Linguistics (ACL), 2025 Jiaxin Shen Jinan Xu Huiqi Hu Luyi Lin Fei Zheng Guoyang Ma Fandong Meng Jie Zhou Wenjuan Han AILaw ELM 238 4 0 02 Mar 2025
Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation Minqin Zhu Anpeng Wu Haoxuan Li Ruoxuan Xiong Bo Li ... Xuan Qin Peng Zhen Jiecheng Guo Leilei Gan Kun Kuang CML 183 12 0 21 Mar 2024
LegalDuet: Learning Fine-grained Representations for Legal Judgment Prediction via a Dual-View Contrastive Learning Pengjie Liu Xin Dai Zhenghao Liu Huiyuan Xie Xiaoyuan Yi Yu Gu Shi Yu Liner Yang Shuang-Hua Yang Ge Yu AILaw ELM 362 0 0 27 Jan 2024