2 papers
cs.LG2025
Effective Regularization Through Loss-Function Metalearning
Santiago Gonzalez, Xin Qiu, Risto Miikkulainen
Evolutionary computation can be used to optimize several different aspects of neural network architectures. For instance, the TaylorGLO method discovers novel, customized loss func…
cs.CL2024
Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space
Xin Qiu, Risto Miikkulainen
With the widespread application of Large Language Models (LLMs) to various domains, concerns regarding the trustworthiness of LLMs in safety-critical scenarios have been raised, du…