Understanding Context in Large Language Models: A Comprehensive Study
Chen, S., Johnson, M., Williams, & R.
Nature Machine Intelligence•2024
Research Interests
My research spans several interconnected areas in artificial intelligence and its applications.
Natural Language Processing
Developing models that understand and generate human language, with focus on contextual understanding and multilingual capabilities.
Machine Learning for Healthcare
Applying AI techniques to improve medical diagnosis, treatment planning, and patient outcomes.
AI Ethics and Fairness
Investigating bias in AI systems and developing methods to ensure fair and equitable outcomes.
Human-AI Collaboration
Designing systems where humans and AI work together effectively, leveraging the strengths of both.
Selected Publications
Recent peer-reviewed publications from my research group.
Journal Article
Conference Paper
Book/Chapter
Preprint
Fairness-Aware Machine Learning in Clinical Decision Support
Chen, S., Patel, A., Kim, & J.
Proceedings of NeurIPS 2024•2024
Bridging Human Expertise and AI: A Framework for Collaborative Intelligence
Williams, R., Chen, S., Garcia, & L.
Communications of the ACM•2023
Multilingual Medical Named Entity Recognition with Transfer Learning
Kim, J., Chen, S., Tanaka, & Y.
arXiv preprint•2024
Privacy-Preserving Natural Language Processing for Healthcare
Chen, S., Brown, T., Davis, & M.
Proceedings of ACL 2023•2023