  Generative information retrieval (IR) has experienced substantial growth
across multiple research communities (e.g., information retrieval, computer
vision, natural language processing, and machine learning), and has been highly
visible in the popular press. Theoretical, empirical, and actual user-facing
products have been released that retrieve documents (via generation) or
directly generate answers given an input request. We would like to investigate
whether 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 of
this workshop (https://coda.io/@sigir/gen-ir) is to focus on previously
explored Generative IR techniques like document retrieval and direct Grounded
Answer Generation, while also offering a venue for the discussion and
exploration of how Generative IR can be applied to new domains like
recommendation systems, summarization, etc. The format of the workshop is
interactive, including roundtable and keynote sessions and tends to avoid the
one-sided dialogue of a mini-conference.
