Controllable Expression

Controllable expression in AI focuses on generating outputs—text, images, or videos—that precisely reflect user-specified attributes, overcoming limitations of existing models that often produce unpredictable or inaccurate results. Current research emphasizes developing frameworks that allow for fine-grained control over various aspects, such as uncertainty in language models, trustworthiness in AI datasets, and nuanced expression in face generation and animation, often employing techniques like fine-tuning, value function-based selection, and diffusion models. These advancements are crucial for building more reliable and trustworthy AI systems across diverse applications, ranging from question answering and data-centric AI to personalized content creation and human-computer interaction.