Voyager iteratively optimizes a determinantal point process diversity measure to generate synthetic LLM datasets, delivering 1.5-3 times higher diversity than baselines in experiments.
InFindings of the Association for Com- putational Linguistics: EMNLP 2022, pages 3414– 3427
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VOYAGER: A Training Free Approach for Generating Diverse Datasets using LLMs
Voyager iteratively optimizes a determinantal point process diversity measure to generate synthetic LLM datasets, delivering 1.5-3 times higher diversity than baselines in experiments.