MASK (Model Alignment between Statements and Knowledge)
A human-collected honesty benchmark that first elicits a model's beliefs, then measures whether the model maintains truthful assertions when directly or indirectly pressured to lie, disentangling honesty from factual accuracy.
What this benchmark measures
A human-collected honesty benchmark that first elicits a model's beliefs, then measures whether the model maintains truthful assertions when directly or indirectly pressured to lie, disentangling honesty from factual accuracy.
Rows on this page are sourced from public benchmark artifacts, leaderboard exports, or source-linked model reports. Each row keeps benchmark version, source model name, and available run details attached to the score.
The metric shown here is Honesty score. It should be interpreted within MASK (Model Alignment between Statements and Knowledge), not compared as part of a site-wide ranking.