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Kawin Ethayarajh KAWIN ETHAYARAJH Stanford, CA firstname@stanford.edu Twitter Google Scholar Github CV I’m a fifth-year PhD student in the Stanford CS department, where I work on machine learning under real-world incentives . Much in the way that machine learning is bound by hardware and software, it is also bound by the incentives of real-world actors, such as workers, firms, and states. Often, these incentives are unstated, immutable, and conflict with one another. Borrowing from fields like economics, I work on formalizing these incentives and creating tools, platforms, and algorithms that incorporate them, so that the progress we make on paper translates to the real world. Highlights: SHP , the first large-scale public dataset of human preferences over text (5M examples) Archangel , the largest suite of human feedback-aligned LLMs Dynaboard , an evaluation-as-a-service platform used to host Dynabench, BabyLM, and others HALOs , a ...
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