CBNames
A new benchmark introduced for evaluating creative name generation tasks with tailored metrics.
A new benchmark introduced for evaluating creative name generation tasks with tailored metrics.
The process of assessing the quality and relevance of generated outputs against predefined criteria.
The process of creating names based on specified criteria and constraints.
The process of identifying and defining specific goals or requirements from user inputs.
An optimization approach involving multiple agents that collaborate or compete to achieve specific goals.
A method that uses a fixed random projection to accelerate distance computations in high-dimensional spaces.
A learning paradigm where a model is able to generalize to new tasks without having seen any examples of those tasks during training.
A surrogate model designed for accurate and efficient prediction in optimization tasks, with capabilities for uncertainty estimation.
A method used to analyze the optimization landscape to better understand the characteristics of the optimization problem and improve search strategies.
An optimization framework that utilizes meta-learning techniques to improve the performance of black-box optimization methods across various tasks.