Hamel Husain: similarity metrics like ROUGE don't work for LLM output evals
HamelHusain · x · 2026-10-06
Hamel Husain and Shreya Shankar argue BERTScore/ROUGE/cosine similarity are largely useless for evaluating LLM outputs: wording similarity misses application-specific failures. Instead, use error analysis to build binary pass/fail evals via LLM-as-judge or code assertions; similarity metrics still help with retrieval quality and output diversity.
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