nlg evaluation

Evaluating Natural Language Generation (NLG) systems is a crucial sub-task in the field of Natural Language Processing (NLP), aiming to assess the quality, coherence, and accuracy of text generated by large language models through quantitative and qualitative analysis. The goal of this task is to ensure that the generated text can effectively convey information, fit the context, and possess the natural fluency of human language. The application value of NLG evaluation lies in optimizing model performance, enhancing the practicality and reliability of generated text, thereby promoting the development of applications such as intelligent writing, automatic summarization, and dialogue systems.