2024年10月18日 · In this work, we introduce the task of Long-form Generation with Uncertainty (LoGU). We identify two key challenges: Uncertainty Suppression, where models hesitate to …

In this work, we introduce the task of Long-form Generation with Uncertainty (LoGU). We identify two key challenges: Un-certainty Suppression, where models hesitate to express uncertainty, …

We identify two key challenges: Uncertainty Suppression, where models hesitate to express uncertainty, and Uncertainty Misalignment, where models convey uncertainty inaccurately. To …

2024年10月18日 · In this work, we introduce the task of Long-form Generation with Uncertainty (LoGU). We identify two key challenges: Uncertainty Suppression, where models hesitate to …

2024年10月27日 · This paper introduces the LoGU model, which enables language models to generate long-form text while also expressing linguistic uncertainty. By finetuning large …

2024年10月18日 · This work introduces the task of Long-form Generation with Uncertainty (LoGU), and identifies two key challenges: Uncertainty Suppression, where models hesitate to …

洛谷创办于2013年，致力于为参加noip、noi、acm的选手提供清爽、快捷的编程体验。 它拥有在线测题系统、强大的社区、在线学习功能。 很多教程内容由各位oiers提供的，内容广泛。 无 …

2024年8月5日 · logu is for extracting patterns from (streaming) unstructured log messages. For parsing unstructured logs, it uses the parser from Drain. In simple terms, it tokenizes log …

2019年5月1日 · Let U U be a uniform distribution on [0, 1] [0, 1] 1) Find the distribution function of V = −log(U) V = − l o g (U) (where log is the natural log) 2) Find E(V) E (V) What I got:

Motif finding can be described as the process of discovering patterns within collections of sequences. In many cases, we don’t know what the pattern looks like, and this task is a …