“Fa Yan Shi Qing”: LLM Legal Fact Reasoning and Determination Auxiliary System
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A RAG-based auxiliary system for criminal justice to address legal fact reasoning challenges using LLMs and MCP protocol.
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publications
From Determinism to Probabilism: Reshaping the Causation Identification of Medical Malpractice in AI-Assisted Diagnosis and Treatment
Published in Cognitive Computing - ICCC 2025, 2025
This paper examines the limitations of conventional causation determination methods in the context of AI-assisted diagnosis and proposes a shift toward probabilistic causation theory.
Recommended citation: Wang, W., Yang, A., Li, Z., & Gong, Y. (2025). From Determinism to Probabilism: Reshaping the Causation Identification of Medical Malpractice in AI-Assisted Diagnosis and Treatment. In Cognitive Computing - ICCC 2025 (pp. 20-35). Springer.
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Legal Knowledge Generation Based on LLM Prompt Engineering
Published in CLOUD Computing – CLOUD 2025, 2025
The rise of generative artificial intelligence, especially large language models (LLMs), is subversively changing the legal industry. This paper explores how prompt engineering can be leveraged to control LLMs for advanced legal knowledge generation, moving beyond simple information retrieval to the creation of new legal insights.
Recommended citation: Yang, A., Li, Z., Gong, Y. (2026). Legal Knowledge Generation Based on LLM Prompt Engineering. In: Luo, M., Zhang, LJ. (eds) CLOUD Computing – CLOUD 2025. CLOUD 2025. Lecture Notes in Computer Science, vol 16153. Springer, Cham. https://doi.org/10.1007/978-3-032-06326-7_2
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talks
大数据与法律检索智能体的搭建流程和技术
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课程简介
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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