iMpact Seminar – Yuan Luo, PhD
Yuan Luo, PhD
Director, Institute for Augmented Intelligence in Medicine – Center for Collaborative AI in Healthcare
Associate Professor of Preventive Medicine (Health and Biomedical Informatics), McCormick School of Engineering and Pediatrics
Large Language Models to Understand Biomedical Text
Large Language Models such as transformer-based models have been wildly successful in setting state-of-the-art benchmarks on a broad range of natural language processing (NLP) tasks, including question answering (QA), document classification, machine translation, text summarization, and others. Recently, the release of OpenAI’s free tool ChatGPT demonstrated the ability of large language models to generate content, with anticipations on its possible uses and potential controversies. The ethical and acceptable boundaries of ChatGPT’s use in scientific writing remain unclear. He will talk about his group’s research on exploring large language models, e.g., long-sequence transformers and GPT style models, in the clinical and biomedical domains. Their work examines the adaptability of these large language models to a series of clinical NLP tasks including clinical inferencing, biomedical named entity recognition, EHR based question answering, clinical notes classification tasks etc.
Dr. Luo's research interests include machine learning, natural language processing, time series analysis, integrative genomic analysis and big data analytics, with a focus on medical and clinical applications. He is the Chief AI Officer at the Northwestern University Clinical and Translational Sciences Institute (NUCATS) and at the Institute of Augmented Intelligence in Medicine (IAIM).