Using the examplse in Figure 2(a), where only inter-edges exist, prior to conducting score propagation, all ID and OOD nodes can be fully distinguished.

Existingmethods assume that the examples illustrating a concept are mapped in a fixed direction oftheDNN'slatent space.

The vast majority of time-series forecasting approaches require a substantial training dataset. However, many real-life forecasting applications have very little initial observations, sometimes just 40 or fewer. Thus, the applicability of most forecasting methods is restricted in data-sparse commercial applications.

Computerized adaptive testing (CA T), as a tool that can efficiently measure student's ability, has been widely used in various standardized tests (e.g., GMA T and

We conduct a preliminary study on finding a proper prompt construction strategy. Further research can utilize our analysis to construct more powerful code prompts. Table 1: Code prompt study results of CBS. N" means there are one human-relevant function Table 2: Automatic and human evaluation results of social biases in the generated code on GPT -4. We also conduct experiments on GPT -4.

We propose a new paradigm to construct code prompts and successfully uncover social biases in code generation models.