Middo: Model-Informed Dynamic Data Optimization for Enhanced LLM Fine-Tuning via Closed-Loop Learning

Zinan Tang 0001, Xin Gao 0001, Qizhi Pei, Zhuoshi Pan, Mengzhang Cai, Jiang Wu 0003, Conghui He, Lijun Wu 0003. Middo: Model-Informed Dynamic Data Optimization for Enhanced LLM Fine-Tuning via Closed-Loop Learning. In Christos Christodoulopoulos 0001, Tanmoy Chakraborty 0002, Carolyn Rose, Violet Peng, editors, Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, EMNLP 2025, Suzhou, China, November 4-9, 2025. pages 6871-6891, Association for Computational Linguistics, 2025. [doi]

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