Interpretability Research Hits Data Problems Again
A researcher argues interpretability faces the same evaluation difficulties as data-centric ML, later noting that many strong interp papers also contribute datasets, so the two are complementary rather than opposed.
2026-10-02 ~ 2026-10-02 · 2 related posts
- Interpretability researcher: eval and curated-data problems have followed me into interp — benno_krojer · 2026-10-02
- Follow-up: many good methods and interp papers come with data contributions — benno_krojer · 2026-10-02