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Internalizing Curriculum Judgment for LLM Reinforcement Fine-Tuning

Zheng, Han et al.
arXiv (All) · Papers
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machine-learning
In LLM Reinforcement Fine-Tuning (RFT), curriculum learning drives both efficiency and performance. Yet, current methods externalize curriculum judgment via handcrafted heuristics or auxiliary models, risking misalignment with the policy's training dynamics. In this paper, we introduce METIS (METaco
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