Unpacking the bias of large language models

MIT News || A team of MIT researchers, including TILOS Foundations team member and associate professor Stefanie Jegelka, and postdoctoral scholar Yifei Wang, has developed a theoretical framework to study how information flows through the machine learning (ML) architecture that forms the backbone of LLMs. Their work has uncovered the root cause of “position bias” […]

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Opinion: We Can’t Regulate Our Way to Crypto Leadership. We Still Need Science

CoinDesk || National Science Foundation funding cuts threaten to devastate U.S. crypto research, say 10 leading professors, including TILOS Chips team co-lead Farinaz Koushanfar, the Nemat-Nasser Endowed Chair Professor of Electrical and Computer Engineering at UC San Diego, and founding co-director of the UC San Diego Center for Machine Intelligence, Computing, and Security (MICS).

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Expanding the Use and Scope of AI Diffusion Models

Researchers at the University of California San Diego and other institutions are working on a way to make a type of artificial intelligence (AI) called diffusion models—a type of AI that can generate new content such as images and videos by training on large datasets—more efficient and widely applicable. Currently, diffusion models work by making […]

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