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Generative information retrieval (IR) has experienced substantial growthacross multiple research communities (e.g., information retrieval, computervision, natural language processing, and machine learning), and has been highlyvisible in the popular press. Theoretical, empirical, and actual user-facingproducts have been released that retrieve documents (via generation) ordirectly generate answers given an input request. We would like to investigatewhether end-to-end generative models are just another trend or, as some claim,a paradigm change for IR. This necessitates new metrics, theoretical grounding,evaluation methods, task definitions, models, user interfaces, etc. The goal ofthis workshop (https://coda.io/@sigir/gen-ir) is to focus on previouslyexplored Generative IR techniques like document retrieval and direct GroundedAnswer Generation, while also offering a venue for the discussion andexploration of how Generative IR can be applied to new domains likerecommendation systems, summarization, etc. The format of the workshop isinteractive, including roundtable and keynote sessions and tends to avoid theone-sided dialogue of a mini-conference.

Gen-IR @ SIGIR 2023: The First Workshop on Generative Information Retrieval