Wen Li Research Pathway Student at USYD

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Wen Li is currently pursuing a Master of Data Science at the University of Sydney. Her research interests center on making large language models more reliable and trustworthy, including hallucination mitigation, evaluation and uncertainty estimation, controllable text generation, and retrieval-augmented generation (RAG). She is also interested in methods that improve model efficiency and safety for practical deployment, particularly with small/efficient language models.

Search for Wen Li's papers on the Research page