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Speak Out of Turn: Safety Vulnerability of Large Language Models in Multi-turn Dialogue
Large Language Models (LLMs) have been demonstrated to generate illegal or unethical responses, particularly when subjected to "jailbreak."
Edge-Featured Graph Attention Network
In this paper, we present edge-featured graph attention networks, namely EGATs, to extend the use of graph neural networks to those tasks learning on graphs with both node and edge features.
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