nli-model-validated-200-sample-annotation
IN premise — summaries/2026/08/24/xie-2024-chameleon-sloth-sA-appendix.md
Created 2026-08-25T02:59:00+00:00
The NLI model used as an automated quality filter in the evidence-construction pipeline had its accuracy validated via 200-sample human annotation.
Summary
The automated step that screens and filters evidence in the pipeline wasn't just trusted on faith — a human team manually checked 200 examples to confirm the model's accept/reject calls actually match what a person would decide. This gives the downstream stages a baseline of confidence that the filter is doing its job and not silently corrupting the evidence set with bad passes or wrongful rejections.