How Trustworthy Are LLM-as-Judge Ratings for Interpretive Responses? Implications for Qualitative Research Workflows

1. 1Evaluate the interpretive quality of LLMs
2. 2Compare performance across different LLMs
3. 3Consider the potential influence of model selection on interpretive outcomes
4. 4Develop systematic methods for selecting and validating LLMs in qualitative research workflows

Qualitative researchers and data scientists can benefit from understanding the limitations and potential biases of LLMs in evaluating interpretive responses, to inform their model selection and workflow design

💡 The trustworthiness of LLMs as judges for interpretive responses is not guaranteed and requires systematic evaluation and comparison across models

💡 Can LLMs be trusted as judges for interpretive responses in qualitative research? New study examines their trustworthiness #LLMs #QualitativeResearch