Attention-Driven Reasoning: Unlocking the Potential of Large Language Models

1 code implementation • 22 Mar 2024 • Bingli Liao, Danilo Vasconcellos Vargas

Large Language Models (LLMs) have shown remarkable capabilities, but their reasoning abilities and underlying mechanisms remain poorly understood.

Perceptual Deep Neural Networks: Adversarial Robustness through Input Recreation

no code implementations • 2 Sep 2020 • Danilo Vasconcellos Vargas, Bingli Liao, Takahiro Kanzaki

Thus, $\varphi$DNNs reveal that input recreation has strong benefits for artificial neural networks similar to biological ones, shedding light into the importance of purposely corrupting the input as well as pioneering an area of perception models based on GANs and autoencoders for robust recognition in artificial intelligence.

Adversarial Robustness Super-Resolution