Yujun Li

GRASP: Geometry-aware Residual Alignment for Scalable Pretraining Data Attribution

This work reframe attribution as subset-level counterfactual utility prediction and introduces GRASP, an interaction-aware surrogate that more than doubles the task-level rank correlation for counterfactual subset fidelity while reducing upfront artifact construction costs by nearly an order of magnitude.