LLM Based Metric

Large language model (LLM)-based metrics are automated evaluation tools leveraging LLMs to assess the quality of text generated by other LLMs, addressing limitations of traditional metrics like ROUGE and BLEU. Current research focuses on developing more robust and reliable LLM-based metrics, including exploring various prompting strategies, addressing biases (such as favoring texts generated by the same LLM), and incorporating fine-grained analysis beyond simple summary-level scores. These advancements are crucial for improving the development and deployment of LLMs across diverse applications, from summarization and machine translation to medical tasks and cybersecurity, by providing more nuanced and human-aligned evaluations.