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MIRA: Mid-training Rubric Anchoring for Source-Aware Data Selection

Hugging Face Daily Papers ↗ · 2026-05-29 Cached

MIRA is a data selection framework for the mid-training stage of LLM development that adaptively constructs quality rubrics per data source, using a teacher model to propose dimensions and distilling into lightweight scorers. It achieves superior performance using only half the tokens compared to full-corpus training.

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