LLMs as Judges: A Comprehensive Survey on LLM-Based Evaluation Methods
Deep Papers
Exploring the Applications and Limitations of LLM Evaluations
This chapter delves into the applications and limitations of large language models as evaluators across contexts, highlighting specific use cases like summarization and retrieval-augmented generation. It also addresses critical concerns regarding biases, the necessity for audits, and the importance of domain expertise in ensuring the responsible use of LLMs.
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