معرفی
Xin Wei is a Visiting Professor in the Physics Department at Stanford University, affiliated with the School of Humanities and Sciences. Their research focuses on advancing artificial intelligence, machine learning, and natural language processing, with a particular emphasis on multimodal models, data valuation, and ethical AI practices. Xin Wei’s work bridges theoretical contributions with applied studies in areas such as large language models, peer review systems, and clinical AI adoption. They have published extensively on topics including model card analysis, distribution shifts, and dataset documentation.
Research interests include the societal impact of AI, improving model transparency, and addressing disparities in AI performance across diverse datasets. Their recent work explores methods to enhance multimodal state-space models, adaptive agentic systems, and the ethical implications of AI in scientific writing and healthcare.
Key contributions include frameworks like LlamaFusion for multimodal generation, Metashift for evaluating distribution shifts, and Opendataval for data valuation benchmarking. Xin Wei’s interdisciplinary approach integrates computer science, physics, and ethics to drive innovation while ensuring responsible AI development.
