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The Computer Science Laboratory studies the logical foundations of scalable systems that are beyond the scope of traditional testing or simulation, and builds and applies efficient high-level tools for rigorous mechanical analysis. Current systems of interest include not only traditional computer hardware and software, but also biological systems and nanoelectronics.
[UAI 2026 Oral] Bayesian Adaptation Gym (BAG): a library for the Bayesian adaptation of LLMs and VLMs.
Reference implementation of QUIC-LY transport protocol (which is QUIC without encryption) using the Python Trio framework.
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