arxiv
PublishedJune 16, 2026 at 4:00 AM
RoSE: Round-robin Synthetic Data Evaluation for Selecting LLM Generators without Human Test Sets
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arXiv:2510.06143v2 Announce Type: replace Abstract: LLMs are powerful generators of synthetic data, which are used for training smaller, specific models. This is especially valuable for low-resource languages, where human-labelled data is scarce but LLMs can still produce high-quality text. However,
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Originally published on arxiv ↗