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Project aims to develop and assess various evaluation metrics to identify the most effective one for LLM-based table-to-text generation, ensuring that the resulting datasets are factually accurate and semantically rich. This work significantly enhances the quality and reliability of the dataset directly impacting downstream NLP applications
Ajay-Rajpurohit/Evaluation-of-LLM-based-model
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Project aims to develop and assess various evaluation metrics to identify the most effective one for LLM-based table-to-text generation, ensuring that the resulting datasets are factually accurate and semantically rich. This work significantly enhances the quality and reliability of the dataset directly impacting downstream NLP applications
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