William W. Cohen

William W. Cohen works in computer science, focusing on machine learning, natural language processing, and large language models (LLMs), including how AI agents plan, reason, and can be evaluated or audited. Recent work also explores statistical methods for combining predictions from AI models with limited human-labeled data ('prediction-powered inference'), and some publications apply health-data analysis to topics like food insecurity and cardiovascular risk, suggesting collaboration across fields.

Publication output has fluctuated over the last decade, with a peak around 2017-2018, a decline through the early 2020s, and a modest, still-active output continuing through 2024-2026.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026