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In the context of Large Language Models, a prompt template can include a placeholder, which is a variable element designed to be replaced with specific content. For instance, in a template for a grammaticality judgment task, `{*sentence*}` can be used as a placeholder where the actual sentence to be evaluated is inserted.

Placeholder in Prompt Templates

Grammaticality judgment can be reframed as a text generation task by using a prompt template, which often uses a placeholder like `{*sentence*}` for the text to be evaluated. The prompt's structure can vary significantly. For instance, given a sentence, several formats are possible:

1.  **Question First**: The query precedes the sentence.
    `Question: Is this sentence grammatically correct? John seems happy today.`

2.  **Sentence First with Answer Cue**: The sentence is followed by the question and a cue for the model's response.
    `John seems happy today. Question: Is this sentence grammatically correct? Answer:`

3.  **Command-based Instruction**: The prompt is phrased as a command followed by the sentence.
    `Read the following sentence, and answer whether it is grammatically correct. LLMs are powerful models but are expensive to build.`

4.  **Sentence First with Natural Question**: The sentence is presented, followed by a more conversational question, often on a new line.
    `LLMs are powerful models but are expensive to build.
Does this sentence make sense grammatically?`

Examples of Prompt Templates for Grammaticality Judgment

To create a complete input for a language model, a placeholder variable within a prompt template is substituted with the actual text provided by a user. For example, consider the following template designed to evaluate a sentence's grammar:

`{*sentence*}`
`Question: Is this sentence grammatically correct?`
`Answer:`

By replacing the `{*sentence*}` placeholder with a specific user input, such as the sentence "John seems happy today.", the finalized input is ready to be processed by the language model.

Example of Instantiating a Placeholder in a Grammaticality Judgment Prompt

A direct prompt for a grammaticality judgment task can be formulated as an instruction followed by the sentence to be evaluated. For instance: 'Read the following sentence, and answer whether it is grammatically correct. LLMs are powerful models but are expensive to build.' This prompt clearly defines the task and provides the specific text for the LLM to analyze.

Example of a Prompt for Grammaticality Judgment

A developer is building a system that uses a language model to summarize news articles. They need to create a single, reusable instruction that can work for any article provided by a user. Which of the following options correctly uses a placeholder to create such a flexible template?

You are tasked with creating a reusable instruction for a language model to perform sentiment analysis on customer feedback. The goal is to have a single template that can be used for any piece of feedback. Below is a specific example of a complete instruction:

`'What is the sentiment of the following customer feedback? Feedback: The product was amazing and arrived on time.'`

Modify this instruction to create a general-purpose template by replacing the specific customer feedback with a placeholder.

Creating a Reusable Prompt Template

Match each term related to creating dynamic instructions for a language model with its correct description.

Prompt templates designed to guide a Large Language Model in an English-to-Chinese translation task can take different forms while utilizing placeholders for the source text. One approach is a question-answer format, structured as `{*sentence*}` followed by `Question: What is the Chinese translation of this English sentence? Answer:`. Alternatively, an instruction-like template can be used, providing a direct command such as `{*sentence*} Translate this sentence from English into Chinese.`

Examples of Prompt Templates for English-to-Chinese Translation

A grammaticality judgment prompt can be designed by first providing the sentence to be assessed, followed by a related question, and ending with clear multiple-choice options for the answer. For example, the sentence 'LLMs are powerful models but are expensive to build.' is presented at the beginning. This is followed by asking 'Does this sentence make sense grammatically?' and supplying an 'Answer Option' list that explicitly states the choices '- Yes' and '- No', along with the expected final response 'Yes'.

Example of a Sentence-First Prompt for Grammaticality Judgment with Answer Options

When evaluating grammaticality, a prompt can be organized by stating strict constraints on the answer format and meanings before presenting the target sentence. For instance, the prompt might begin with the rules: 'Yes or No? Yes = the following sentence is grammatically correct. No = it contains grammatical errors.' Right after these explicit instructions, the sentence to be judged is provided: 'LLMs are powerful models but are expensive to build.', followed by the desired response 'Yes'.

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