Researchers at Hugging Face propose a method to improve the consistency of text generated by language models. They argue that current evaluation metrics for generative models often focus on unstructured output, which can lead to inconsistent results. The team suggests using structured generations, where the model is given a specific format or template to follow, resulting in more consistent and coherent text. --- Why it matters: This matters because it addresses a long-standing issue with language models: their tendency to produce inconsistent and sometimes nonsensical output. By improving prompt consistency, this method can help developers create more reliable and trustworthy AI systems for applications like chatbots and text summarization. Source: https://huggingface.co/blog/evaluation-structured-outputs