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Enhancing Fault Detection for Large Language Models via Mutation-Based Confidence Smoothing
Large language models (LLMs) achieved great success in multiple application domains and attracted huge attention from different research communities recently.
Development of a Hardware-in-the-loop Testbed for Laboratory Performance Verification of Flexible Building Equipment in Typical Commercial Buildings
The development of strategies that exploit these flexibilities could be facilitated by publicly available high-resolution datasets illustrating how control of HVAC systems in commercial buildings can be used in different climate zones to shape the energy use profile of a building for grid needs.
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