Qwen researcher says human-labeled data may be noisier than auto-labeling
Qwen multimodal researcher Antoine Chaffin argues that human-labeled datasets may contain more noise and errors than advanced auto-labeling, and shares a practical tip: sorting samples by loss and inspecting the top cases reliably reveals annotation mistakes.
2026-09-20 ~ 2026-09-20 · 2 related posts
- Qwen researcher: human annotation may be noisier than auto-labeling — antoine_chaffin · 2026-09-20
- Sort samples by loss and check the head: a practical labeling-error hack — antoine_chaffin · 2026-09-20