Knowledge Prediction

Knowledge prediction focuses on anticipating missing information, whether it's a person's unstated knowledge in a collaborative task, missing details in an image caption, or the relevant knowledge points for a math problem. Current research explores this across diverse domains using various approaches, including graph-based models for collaborative planning, vision-language pre-training models enhanced with knowledge-guided replay for image captioning, and question-generation strategies for novel object recognition. These advancements improve the accuracy and completeness of information processing in various applications, ranging from human-computer interaction to automated education and knowledge representation.

Papers