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

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arxiv 2306.02887 v2 pith:XWWBVL7V submitted 2023-06-05 cs.IR cs.CL

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

classification cs.IR cs.CL
keywords generativeretrievalinformationlikeworkshopbeengen-irgeneration
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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.

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