## Screenshot: TTA Prompt Template for Multiple-Choice Questions ### Overview The image displays a structured template for generating explanations and confidence assessments for multiple-choice questions. It includes placeholders for question/answer content and instructions for generating justifications. ### Components/Axes - **Headings**: - `TTA Explanation Prompt:` - `TTA Confidence Prompt:` - **Placeholders**: - `[multiple choice question]` - `[answer text]` - `[Top-K Prompt]` - `[explanation 1]` to `[explanation N]` - **Instructions**: - "The task is to read the given question and select the most appropriate answer by indicating the associated letter." - "Please generate an explanation to try to justify the answer judgement." ### Detailed Analysis - **TTA Explanation Prompt Section**: - Contains a question placeholder (`[multiple choice question]`) and an answer placeholder (`[answer text]`). - Directs the user to generate an explanation justifying the answer. - **TTA Confidence Prompt Section**: - Includes a `[Top-K Prompt]` placeholder. - Lists `N` possible explanations (`[explanation 1]` to `[explanation N]`), suggesting iterative refinement or confidence scoring. ### Key Observations - Placeholders are marked in red brackets, indicating editable fields. - The template emphasizes **justification** (`"justify the answer judgement"`) and **confidence assessment** (`"Top-K Prompt"`). - No numerical data or visual trends are present; the focus is on textual structure and workflow. ### Interpretation This template is designed for **iterative reasoning** in question-answering systems. The `TTA Explanation Prompt` ensures answers are supported by logical reasoning, while the `TTA Confidence Prompt` allows for evaluating multiple explanations to gauge confidence (e.g., via Top-K sampling). The absence of numerical data suggests it is a **procedural guide** rather than a data visualization. The use of `[explanation N]` implies scalability for handling varying levels of confidence or alternative reasoning paths.