This paper provides an overview of the NTCIR-18 Transfer-2 task that aims to bring together researchers from Information Retrieval, Machine Learning, and Natural Language Processing to develop a suite of technology for transferring resources generated for one purpose to another in the context of dense retrieval. Two subtasks were run for this round: the Retrieval Augmented Generation (RAG) subtask and the Dense Multimodal Retrieval (DMR) subtask. This paper presents the dataset developed and evaluation results of participant runs. Note that this paper includes material from our earlier work published in~emtcir04, revised for the current work.
Joho et al. (2025) studied this question.