[R] QAG for Reliable Summarization Metric

Hey everyone! First of all I apologize if this isn't "research" enough, but I just wrote a new article with a proposed way to more reliable evaluate a text summarization task using LLMs. I think currently LLMs give evaluation scores with an extremely high level of unpredictability, but this QAG (question answer generation) approach gets rid of this.

Here is the article: [https://medium.com/@jeffreyip54/a-step-by-step-guide-to-evaluating-an-llm-text-summarization-task-80b319b94244](https://medium.com/@jeffreyip54/a-step-by-step-guide-to-evaluating-an-llm-text-summarization-task-80b319b94244), and I would love to get your thoughts on areas of improvement.

article evaluation hey llms machinelearning question research summarization text text summarization think