In recent years,large language model have demonstrated outstanding capabilities across multiple natural language processing tasks,greatly aiding the development of intelligent law systems.Existing large language model in the law domain,primarily focuses on fine-tuning foundation model for simple question answering tasks in legal consultation,have not considered other application scenarios in the legal field,such as legal information extraction,judgment prediction,etc.Real world law services are far more complex than dialogues.LawLLM was proposed,a Chinese law intelligent large language model,capable of providing diverse law services for different user groups.Additionally,the application of information extraction on long-context judicial documents in the law domain was explored.The average performance of LawLLM on Lawbench outperforms all the compared large language models,being 0.19%higher than the 175 billion parameter GPT-3.5-Turbo model.LawLLM's average performance on few-shot tasks on Lawbench is slightly lower than GPT-3.5-Turbo,by 0.02%.
关键词
大语言模型/智慧法律/自然语言处理
Key words
large language model/intelligent law/natural language processing
维普
万方数据