Conversational Recommender Systems Using Generative Models (Gen-CRS): Literature Review

Rows contain the essential bibliographic metadata required to identify and retrieve the original paper. The dataset includes the following columns: Paper title: Full title of the publication Author(s): Names of all authors as reported in the original paper Year: Year in which the paper was published Published at: Conference, workshop, journal, or other venue where the work appeared Reference Link/DOI: Persistent link to access the published document (e.g., DOI, publisher URL, or preprint reference) Dataset Extension for IJCAI-ECAI 2026 In 2026, the dataset was extended with an additional file containing 55 new publications from 2025 and 2026 .

This extension was compiled in the context of an updated edition of the tutorial “ A Tutorial on Recent Advances in Generative Conversational Recommender Systems ” , presented at IJCAI-ECAI 2026 . The extension complements the original collection with research that was not included in the initial dataset and captures recent developments in Generative Conversational Recommender Systems published in 2025 and 2026. It contains 36 publications from 2025 and 19 publications from 2026 and follows the same tabular structure as the original dataset.

The original dataset of 49 publications remains unchanged , preserving the bibliographic collection underlying the literature review and the ACM RecSys 2025 tutorial . Together, the original dataset and its 2026 extension comprise 104 unique publications covering the period from 2018 to 2026 .