Safety, alignment & interpretability· 2019
Attention is not Explanation
On the reading lists
- #331 in the Top 500 (2026 edition)
- #38 in Safety, alignment & interpretability (2026 edition)
Why it matters
Challenged the assumption that attention weights faithfully explain neural model decisions.
Condensed from the expert lists' notes.
The record
- First released
- 2019 (from arXiv 1902.10186)
- Citations
- 2,241 citations, as counted by
Semantic Scholar (non-commercial licence) - Named by
- both expert lists
- Score
- 0.424 · computed rank 331 · consensus 0.62, must-read 0, citations percentile 0.681 (2010s · safety), awards 0, existing lists 0. Method
Data sources
Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0), and
Semantic Scholar (used under its non-commercial API licence). Each count names its source. See the method.