At noon on March 5th, the 25th session of the Young Teachers' Salon and the 20th session of the Digital Legal Studies Young Scholars' Salon hosted by the School of Law, Southeast University were successfully held in the fourth-floor conference room of the School of Law. This salon, themed "Empowering Scientific Research with Large Models: Experience Sharing on FAHENG Large Model and DeepSeek Applications," systematically explored the application value of large language models in legal research and academic writing. Associate Professor Ji Yang, Deputy Dean of the School of Law, served as the moderator, and faculty members and students actively participated in this academic exchange event.
During the experience-sharing session, four speakers demonstrated the practical application value of large models from different perspectives. Cui Rongzhen, a 2024-grade doctoral student, focused on the Q&A model of the Personal Information Protection Law, elaborating on the performance characteristics of large models in legal reasoning and comparatively analyzing the differing attitudes of domestic and foreign universities toward the application of AI tools in academic research. Zhao Yi, a 2023-grade doctoral student, used DeepSeek as an example to introduce in detail the application experience of large models in the entire process of thesis writing, proposing a "human-machine collaboration" cooperative research model. Associate Professor Yang Jie, based on cutting-edge digital legal research, shared application scenarios of large models in introductory social science quantitative analysis by combining empirical research on drunk driving cases. As the main developer of the "FAHENG" large model, Mr. Bi Sheng provided an in-depth explanation of its unique features from the perspective of technical development and usage experience, focusing on core usage techniques such as role positioning, prompt engineering, and task decomposition.
In the discussion session, Professor Yu Lishen emphasized the importance of prompt essentialization and humanities and social science foundations for enhancing model usage effectiveness. Associate Professor Xu Minchuan suggested giving full play to the advantages of large models in long-text analysis. Associate Professor Ren Danli fully affirmed the auxiliary value of large models in academic research. Mr. Chang Tengyuan reminded researchers to avoid over-reliance on technical tools and focus on cultivating independent research capabilities.
This salon focused on the cutting-edge topic of "AI-empowered legal research." Through in-depth academic discussions and experience sharing, it provided important references for innovative applications of large models in the legal field. The successful hosting of the event not only established an important platform for academic exchange but also injected new vitality into the innovative development of legal disciplines, talent cultivation, and research practices.