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cs.CL2026
Synthetic Data for any Differentiable Target
Tristan Thrush, Sung Min Park, Herman Brunborg +5
What are the limits of controlling language models via synthetic training data? We develop a reinforcement learning (RL) primitive, the Dataset Policy Gradient (DPG), which can pre…
cs.CL2025
Curriculum-Guided Layer Scaling for Language Model Pretraining
Karanpartap Singh, Neil Band, Ehsan Adeli
As the cost of pretraining large language models grows, there is continued interest in strategies to improve learning efficiency during this core training stage. Motivated by cogni…