constrained batch reweighting scheme

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…