DIVERSE REPRESENTATION-GUIDED GRAPH LEARNING FOR MULTI-VIEW METRIC CLUSTERING



Modelling and Allocation of Hydrogen-Fuel-Cell-Based Distributed Generation to Mitigate Electric Vehicle Charging Station Impact and Reliability Analysis on Electrical Distribution Systems

The research presented in this article aims at the modelling and optimization of hydrogen-fuel-cell-based distributed generation (HFC-DG) to minimize the effect of electric vehicle charging stations (EVCSs) in a radial distribution system (RDS).The key objective of this work is to address various challenges that arise from the integration of EVCSs,

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Summon a demon and bind it: A grounded theory of LLM red teaming.

Engaging in the deliberate generation of abnormal outputs from Large Language Models (LLMs) by attacking them is a novel human activity.This paper presents a thorough exposition of how and why people perform such attacks, defining LLM red-teaming based on extensive and diverse evidence.Using a formal qualitative methodology, we interviewed dozens o

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