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Garrett A. Alarcon

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Frontier-Weighted SEC: A Case Study in Curriculum Learning for RL Fine-Tuning of Language Models

The Self-Evolving Curriculum (SEC) casts curriculum as a non-stationary multi-armed bandit over difficulty bins, with per-bin reward equal to mean absolute advantage, and was demonstrated on Qwen-3B/7B with 120–240 RLOO steps.

Garrett A. Alarcon · 0 citations