… applying existing automatic prompt design methods in general … versal Self-Adaptive Prompting
(USP), an automatic prompt … versatile: to achieve universal prompting, USP categorizes a …

… generative event extraction framework with a self-Adaptive Prompt (KGAP) for ancient
Chinese war. Specifically, we construct a self-adaptive prompt, which considers its unique trigger …

… ; and (iv) Self-adaptive prompting: Self-adaptive prompting refers to an approach tailored for
zero-shot learning, designed to automatically optimize prompt design. The concept involves …

… prompts are decomposed into attention-aware task-invariant prompts (TIP) and self-adaptive
task-specific prompts (… task-invariant information that can be universally used for both base …

… good prompts from bad prompts. Specifically, we define the top-K prompts as the good prompts
and the bottom-K prompts … To simplify the process and provide a universal approach, we …

… VersusDebias, a universal and self-adaptive zero-shot … 2,060 prompts, which consist of
protected attributes from the ignored social groups, providing reference for modifying the prompts. …

… Prompt-Assisted Self-Adaptive Learning (PASAL), a methodology that seamlessly incorporates
prompt … and augment it with an additional prompt specifically designed to assimilate key, …

… as prompts, enabling precise global spatial-spectral feature extraction with the aid of spectral
information. Secondly, by introducing the self-adaptive … spectral feature prompt subnetwork (…

… (see Figure 1) because finding a universal template that suits all testing samples perfectly is
… As sensitivity to prompt engineering is a key weakness of ICL, we evaluate the robustness …

… Conversely, self-adaptive scripts remain initially invisible in the learning environment and
only prompt out when the system detects a need to aid. This approach grants learners more …