中文法律LLaMA (LLaMA for Chinese legel domain)
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Updated
Aug 28, 2024 - Python
中文法律LLaMA (LLaMA for Chinese legel domain)
夫子•明察司法大模型是由山东大学、浪潮云、中国政法大学联合研发,以 ChatGLM 为大模型底座,基于海量中文无监督司法语料与有监督司法微调数据训练的中文司法大模型。该模型支持法条检索、案例分析、三段论推理判决以及司法对话等功能,旨在为用户提供全方位、高精准的法律咨询与解答服务。
The source code of our COLING'18 paper "Few-Shot Charge Prediction with Discriminative Legal Attributes".
This repo is about the classification of rhetorical roles in Legal Documents such as: Citation, Findings of Fact, Evidence, Legal Rule, Reasoning and other sentences. The used data is Based on BVA decisions and a prototype is provided
Different from prior reseraches that only dive into Machine Reading Comprehension (MRC) approach, we compare the strong QA models in two scenarios: MRC (span extraction) and Answer Generation (AG) (Text Generation) for Vietnamese Legal Documents.
Code and artifacts of the paper titled Evaluating Recent Legal Rhetorical Role Labeling Approaches Supported by Transformer Encoders accepted in BRACIS 2023.
A chatbot to assist in land related legal queries, built using RAG.
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