HELM, or Holistic Evaluation of Language Models, is an initiative by the Center for Research on Foundation Models (CRFM) at Stanford University. HELM aims to provide a comprehensive framework for evaluating language models across various dimensions, ensuring they are assessed in a more thorough and holistic manner. This approach addresses not just the accuracy and performance of these models, but also factors like robustness, fairness, and efficiency. By considering a wider range of evaluation criteria, HELM seeks to improve the development and deployment of language models, making them more reliable and beneficial for diverse applications. For more information, you can visit Stanford's HELM page.