Large Language Models as Optimizers
Titel : Large Language Models as Optimizers Autor: Chengrun Yang, Xuezhi Wang, Yifeng Lu, Hanxiao
Category: IT
Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language Models
Titel: Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language Models Autors: Li, Juncheng ; Gao, Minghe ;
Self-supervised Meta-Prompt Learning with Meta-Gradient Regularization for Few-shot Generalization
Titel: Self-supervised Meta-Prompt Learning with Meta-Gradient Regularization for Few-shot Generalization Autor: Pan, Kaihang ; Li,
Wolfe, Robert, and Aylin Caliskan. “American== white in multimodal language-and-image ai.”
Der Artikel “American== white in multimodal language-and-image ai” von Robert Wolfe und Aylin Caliskan untersucht,
ROSENBAUM, J. Elizabeth. AI perceptions of gender. Diss. RMIT University, 2022
Die Dissertation “AI Perceptions of Gender” von J. Rosenbaum, eingereicht zur Erfüllung der Anforderungen für
Berg, Hugo, et al. “A prompt array keeps the bias away: Debiasing vision-language models with adversarial learning.”
Der Artikel “A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning”
Terrence J. Sejnowski – Large Language Models and the Reverse Turning Test
Orginal – Link: Terrence J. Sejnowski – Large Language Models and the Reverse Turning Test
