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README.md
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@@ -48,7 +48,7 @@ the LLM to generate a structured README.md file using the entire contents of the
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response from LLM by comparing it with the actual README file of that repository across several different metrics.
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In addition to the traditional NLP metircs like BLEU, ROUGE scores and cosine similarity, we also compute custom metrics
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that capture structural similarity, code consistency, readbility and information retrieval (from code to README). The final score
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is generated between by taking a weighted average of the metrics. The weights used for the final score are shown below.
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```
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response from LLM by comparing it with the actual README file of that repository across several different metrics.
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In addition to the traditional NLP metircs like BLEU, ROUGE scores and cosine similarity, we also compute custom metrics
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that capture structural similarity, code consistency, readbility ([FRES](https://simple.wikipedia.org/wiki/Flesch_Reading_Ease)) and information retrieval (from code to README). The final score
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is generated between by taking a weighted average of the metrics. The weights used for the final score are shown below.
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```
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