RLPT applies reinforcement learning to pre-training data
A September 25, 2025 publication presents RLPT, which uses next-segment rewards to train models on pre-training data without additional human annotations. It reports benchmark gains for Qwen3-4B-Base.
In a publication dated September 25, 2025, the authors present Reinforcement Learning on Pre-training Data (RLPT). The approach applies reinforcement learning to pre-training data and uses next-segment rewards without requiring additional human annotations. The text reports benchmark gains for Qwen3-4B-Base, but does not provide the values or evaluation details here.
The proposal offers an alternative for scaling reinforcement learning with pre-training data. To assess the result, consult the original publication and check its experimental setup, benchmarks, and comparisons; the available summary does not establish the size or generalizability of the gains. If you use AI to study or apply the method, avoid sending internal or personal data without authorization and follow your organization's data policy.