Information Seeking

Information seeking research focuses on understanding and improving how humans and machines find and process information, aiming to optimize efficiency and effectiveness. Current research heavily utilizes large language models (LLMs) within various architectures, such as multi-agent systems and retrieval-augmented generation, to enhance information retrieval, question answering, and conversational search across diverse domains including e-commerce and scientific literature. This work is significant for advancing both theoretical understanding of human cognition in information processing and for developing practical tools that improve access to and comprehension of information in various contexts.