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KAT-Coder-V2.5 outperforms existing models in agentic tool-use, showcasing a new paradigm for autonomous coding agents within executable environments.
Uncertainty-aware reconstruction using a Gaussian process prior leads to a 21.9% improvement in endoscopic video restoration, enhancing clinical interpretability.
Modeling 10,000+ correlated outputs is now tractable: T-LVMOGP offers a scalable alternative to restrictive low-rank MOGPs by learning a flexible deep kernel in a shared embedding space.
Tensor program optimization just got a whole lot faster: Prism achieves up to 2.2x speedup over existing superoptimizers while *also* reducing end-to-end optimization time.
