Text Summarization

Evaluate LLM-generated summaries for accuracy and readability. Learn to refine summarization for clarity and completeness.

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RagaAI provides several metrics for evaluating text summarization tasks, divided broadly into metrics based on N-gram overlap suited for extractive tasks (e.g, ROUGE, METEOR, BLEU) vs those using embeddings and LLM-as-a-judge suited for abstractive tasks (e.g, G-Eval, BERTScore, etc.). Here is a list of available metrics:

Additionally, Catalyst offers certain Summarization metrics that do not require LLM-as-a-judge for computation, including: