Chinese LLM

Research on Chinese Large Language Models (LLMs) focuses on improving their performance in various applications, including legal consultation, medical diagnosis, and financial analysis, while addressing challenges like hallucination and bias. Current efforts involve developing specialized LLMs for specific domains (e.g., medical, financial) through techniques such as multi-agent frameworks and joint training of LLMs with retrieval systems, alongside the creation of comprehensive benchmark datasets for objective evaluation. This research is significant for advancing both the capabilities of LLMs and their responsible deployment in diverse real-world contexts within China, contributing to improved accessibility and accuracy of information across various sectors.