Ablation Study

A methodology, common in machine-learning and systems research, in which individual components of a system are systematically removed or disabled to measure their contribution to overall performance. In accessibility testing research, ablation studies are used to justify design choices in multi-step pipelines — for example, removing each hop of a reasoning prompt or disabling a self-consistency mechanism and observing the impact on precision and recall. Reading ablation results helps practitioners judge which parts of a proposed tool are load-bearing versus incidental.