Dr. Post-Training: A Data Regularization Perspective on LLM Post-Training.

arXiv:2605.07063v2 Announce Type: replace-cross Abstract: Data selection methods address a critical challenge in LLM post-training: effectively leveraging scarce, high-fidelity target data alongside abundant but imperfectly aligned general training data. In th