This workshop is dedicated to pioneering research at the intersection of information seeking (e.g., information retrieval, recommendation, and question-answering), with the transformative potential of big models (e.g., language, visual, audio, and multimodal models), specifically focusing on five key aspects. (1) It encourages exploring how big models can revolutionize information retrieval strategies, emphasizing advancements that enhance efficiency and effectiveness in accessing information. (2) We encourage active researchers to utilize big models to advance recommender algorithms, enhancing user modeling for improved personalized recommendations. (3) We encourage groundbreaking research in question-answering systems, leveraging the capabilities of big models to provide accurate and contextually relevant responses. (4) We emphasize the critical role of trustworthiness when employing big models for information seeking, to ensure the reliability of generated content with ethical and legal standards. (5) We encourage researchers to design robust evaluation methodologies, standards, and human evaluation paradigms to comprehensively assess the impact of big models in information seeking.