An agentic four-stage LLM cascade turns natural-language selection intent into curated instruction subsets and outperforms static baselines on most 7B-8B SFT settings.
Wong and Dongfang Li and Ziyi Wang and Baotian Hu and Min Zhang , editor =
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Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent
An agentic four-stage LLM cascade turns natural-language selection intent into curated instruction subsets and outperforms static baselines on most 7B-8B SFT settings.