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This work presents learning interactives, a structured framework leveraging the generative UI capabilities of Gemini to construct effective customized interactive simulations that students learn best through active engagement through interactive experiences tied to real-world concepts.
This work introduces Fuse, a multi-agent simulation framework for studying user-mediated social reasoning, and applies Fuse to 12 LLMs and demonstrates its analytical utility by systematically isolating key factors.
AMIE (Video) outperformed human physicians in critical clinical tasks, signaling a leap toward AI that can effectively engage in complex medical consultations.
Multilingual LLMs exhibit a surprising "American bias," even when prompted in other languages, and instruction tuning makes it worse.
MedGemma 1.5 achieves state-of-the-art results on a diverse set of medical tasks, proving that a single 4B parameter model can effectively integrate and reason across text, 2D/3D medical images, and time-series data.
LLM-powered diagnostic AI is ready for prime time: a real-world clinical trial shows it's safe, patients love it, and doctors find it useful.
