Add Eunomia Integration Tests #389
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Motivation and Context
Evaluating the quality of LLM-generated feedback for modeling exercises is challenging due to the variability and subjectivity of natural language. Traditional evaluation methods struggle with the nuances of feedback expression. Human evaluation, while possible, is time-consuming, expensive, and inconsistent. This PR introduces the Eunomia Integration test address these challenges by providing an automated and consistent framework for evaluating LLM feedback generation. The integration test leverages predefined Structured Grading Instructions to transform the evaluation into a comparison of instruction IDs, allowing for scalable and objective assessments.
Description
The implementation is outlined in detail in the README of the integration test.
Steps for Testing
Testserver States
Note
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Green = Currently available, Red = Currently locked
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Screenshots