Let the Target Select for Itself: Data Selection via Target-Aligned Paths
Target-Aligned Candidate Selection (TACS) proposes decoupling candidate utility scoring from pool dynamics by inducing a validation-based flow. It creates a simple zero-order selection rule based on normalized endpoint loss drop along this target path, offering competitive performance while significantly reducing warmup and storage costs compared to dynamic attribution methods.