A multi-agent simulated teaching pipeline creates BOOST-QA, and fine-tuning on it lifts reported LLM benchmark scores by up to 31 points over the original data.
Data augmentation approaches in natural language processing: A survey
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MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching
A multi-agent simulated teaching pipeline creates BOOST-QA, and fine-tuning on it lifts reported LLM benchmark scores by up to 31 points over the original data.