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Carnegie Mellon University
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Achieve the same performance with half the data: MIRA distills source-specific rubrics into scalable data scorers, enabling efficient and effective data selection for LLM mid-training.
Shadow API audits reveal that some premium Claude endpoints are statistically inconsistent with their reference models, raising concerns about model misrepresentation in LLM APIs.
