Figure 1:

The figures illustrate the conceptual architectures of our ORAB detection models. (a) demonstrates a fine-tuning model and (b) depicts a prompt-based fine-tuning model. Herein, $\mathbf{x}$, $\mathbf{y}$, and $\mathbf{p}$ indicate input text, output labels, and prompt text respectively. ${\mathbf{h}}_{\mathbf{i}}$ is the hidden vector representation of the $i^{th}$ input token. EHR text input to ‘$\left\{\text{text\hspace{0.33em}placeholder}\right\}$‘. The name of each category ($c_{1\dots n}$) in Table 2 is input at ‘$\left\{c_{1\dots n}\text{\hspace{0.33em}placeholder}\right\}$’.