Model Generated

Model-generated content, encompassing text and images, is a rapidly evolving field focused on improving the quality, diversity, and trustworthiness of outputs from large language models (LLMs) and diffusion models. Current research emphasizes evaluating model performance across diverse domains, mitigating biases and hallucinations, and developing methods to detect model-generated content and attribute it to its source. These advancements are crucial for responsible AI development, ensuring the reliability of information in various applications, from scientific publishing to medical diagnosis and education.