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ENTITY gradient-alignment importance estimator

gradient-alignment importance estimator

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  1. RESEARCH · CL_228678 ·

    New DIEM framework improves LLM reinforcement fine-tuning with adaptive data selection

    Researchers have introduced Dynamic Important Example Mining (DIEM), a novel framework designed to enhance the reinforcement fine-tuning (RFT) of large language models. DIEM adaptively selects and reweights training dat…