An LLM-judge framework with a gibberish filter scores human survey responses on effort, relevance, and completeness, matching expert ratings (Spearman up to 0.86 English) better than length, embedding, and DeepEval baselines.
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Transparent Reference-free Automated Evaluation of Open-Ended User Survey Responses
An LLM-judge framework with a gibberish filter scores human survey responses on effort, relevance, and completeness, matching expert ratings (Spearman up to 0.86 English) better than length, embedding, and DeepEval baselines.