3 accepted papers
Recently, Large Language Models (LLMs) based Web Agents have shown significant potential in web understanding and interaction tasks. However, their personalization ability and user experience remain limited by the ambiguity and dynamic nature of user intent, struggling to model diverse user interest
As the Internet’s complexity and information volume surge, the need for efficient web automation becomes critical. Traditional web agents struggle with redundant web content, which disrupts their understanding of the environment. They also face inefficiencies in multi-task scenarios due to handcraft…
Knowledge tracing (KT) aims to predict students’ responses to given questions based on their historical question-answering interactions. Recent studies have proposed multiple types of KT models, mainly relying on learners’ feedback to capture the evolution of their knowledge states. However, these m…