Multiple-Choice Question Conversion for Standalone Language Model Evaluation
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Solution Overview
Problem
Existing evaluation methods for language models, particularly in specific domains, are costly and require manual integration of external knowledge, preprocessing, and postprocessing, making standalone evaluation difficult.
Innovation Solution
A data conversion apparatus and method that converts multiple-choice questions into completion format questions suitable for language model evaluation, enabling standalone assessment without manual data creation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If evaluation data and methods are manually constructed for specific domains, then evaluation accuracy for the language model is improved, but construction cost and time increase significantly
Solution Approach 1:
The system performs preliminary conversion of multiple-choice questions into completion format questions in advance, creating evaluation data that can be directly used for language model assessment without requiring manual construction for each specific domain
Solution Approach 2:
The system copies and adapts existing multiple-choice questions from various domains, transforming them into completion format questions that can be used for evaluation, thereby avoiding the need to create entirely new evaluation data for each domain
2Adaptability or versatility
If multiple-choice questions are converted to completion format, then compatibility with language model evaluation is improved, but question format complexity increases
Solution Approach 1:
The system changes the format parameter of evaluation questions from multiple-choice structure to completion structure, making the questions compatible with language model evaluation while managing the complexity through systematic conversion processes
3Reliability
If external knowledge utilization and preprocessing are integrated into the language model, then evaluation capability for specific domains is improved, but system complexity and cost increase
Solution Approach 1:
The system extracts the evaluation capability from the integrated system configuration and embeds it directly into the language model through completion format questions, eliminating the need for separate external knowledge utilization and preprocessing components
Solution Approach 2:
The system merges the evaluation function with the language model by using completion format questions that can be directly processed by the model, combining what were previously separate components (evaluation data, preprocessing, and model inference) into a unified standalone evaluation process
Data Source
AI summary
A data conversion apparatus including a processor that executes a program and a storage device that stores the program performs input processing of receiving a plurality of options and a first question sentence where one of the plurality of options is a correct answer, conversion processing of converting, based on the plurality of options and the first question sentence received by the input processing, the first question sentence into a second question sentence in a format different from a format of the first question sentence, and output processing of outputting the second question sentence converted by the conversion processing and the plurality of options.