HELM: Holistic Evaluation of Language Models
by Stanford Center for Research on Foundation Models (CRFM) · free · Last verified 2026-03-30
HELM is a living benchmark designed to provide a comprehensive and holistic evaluation of language models across a wide range of scenarios and metrics. It aims to move beyond single-number evaluations by assessing models on factors like truthfulness, calibration, fairness, robustness, and efficiency, providing a more nuanced understanding of their capabilities and limitations.
https://crfm.stanford.edu/helm/latest/ ↗A
A—Great
Adoption: AQuality: A+Freshness: B+Citations: A+Engagement: A
Specifications
- License
- Apache 2.0
- Pricing
- free
- Capabilities
- language-understanding, text-generation, reasoning, knowledge-retrieval
- Integrations
- Use Cases
- model-comparison, risk-assessment, model-development, responsible-ai
- API Available
- Yes
- Tags
- language-models, evaluation, holistic, truthfulness, fairness, robustness
- Added
- 2026-03-30
- Completeness
- 100%
Index Score
87Adoption
85
Quality
90
Freshness
75
Citations
92
Engagement
80