HELM Safety A
AI benchmark · Generalization
- Publisher
- Helm Safety Public GCS Json
- Domains
- Generalization
- Tier
- A why
- Snapshot
What is HELM Safety?
HELM Safety: Measures model robustness, truthfulness, calibration, bias, harmfulness, jailbreak resistance, or alignment-relevant behavior.
Tier A
Widely used: a lab reports it, or 50 or more models are scored on it.
How much stands behind a tier: usage, who backs it, a confirmed line from its own site or paper, and a clear read on X. High with three of the four, medium with two, low otherwise.
- 57 models scored
- in curated RL directories (1 pt)
On X · mixed, low buzz, from 2 posts about HELM Safety in the last month
A couple of small research posts use HELM Safety as a testbed, noting its aggregate scores can mask behavioral differences and shift-sensitive evaluation pitfalls.
How we got to tier A
- Adoption: 57 models scored. Tier A.
- On X: mixed, low buzz. “A couple of small research posts use HELM Safety as a testbed, noting its aggregate scores can mask behavioral differences and shift-sensitive evaluation pitfalls.” No move.
- In curated RL directories: 1 point, a floor of none.
- Not yet confirmed by a line from its own site or paper.
A clear view on X moves a tier one step up or down; most entries don't move. How tiers work.
Not on the map yet: no line from its own site or paper places it in a domain.
Next: browse all benchmarks. Entry from the RL Research daily scrape of public sources, 2026-10-11 snapshot.