3 accepted papers
The evolution of Large Language Models (LLMs) has sparked growing concerns about jailbreak, crafted prompts that bypass safety guardrails and lead to the generation of harmful information. While recent research primarily focuses on identifying harmful content within LLM outputs, limited attention ha…
This paper focuses on the transition of automatic speaker verification systems from time delay neural networks (TDNN) to ResNet-based networks. TDNN-based systems use a statistics pooling layer to aggregate temporal information which is suitable for two-dimensional tensors. Even though ResNet-based…
We present HyperSum, an extractive summarization framework that captures both the efficiency of traditional lexical summarization and the accuracy of contemporary neural approaches. HyperSum exploits the pseudo-orthogonality that emerges when randomly initializing vectors at extremely high dimension…