LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.
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Abstract: We develop the theoretical formulation for a non-intrusive, quadrature-based method for approximate balanced truncation (QuadBT) of linear systems with quadratic outputs, thus extending the ...
Abstract: This work investigates the problem of direct data-driven control (DDC) for linear systems under stochastic sensor/actuator faults. A fault model obeying Markov chain is firstly constructed ...
As the current paradigm of clinical research is shifting toward data centricity, the utilization of health care data is increasingly emphasized. Objective: We aimed to review the literature on ...
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