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

06/05/2023
by   Gabriel Bénédict, et al.
0

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.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
07/19/2023

Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community

The research field of Information Retrieval (IR) has evolved significant...
research
07/12/2019

Proceedings of FACTS-IR 2019

The proceedings list for the program of FACTS-IR 2019, the Workshop on F...
research
07/14/2023

QontSum: On Contrasting Salient Content for Query-focused Summarization

Query-focused summarization (QFS) is a challenging task in natural langu...
research
06/22/2023

On the Robustness of Generative Retrieval Models: An Out-of-Distribution Perspective

Recently, we have witnessed generative retrieval increasingly gaining at...
research
12/02/2022

Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking

Neural information retrieval (IR) systems have progressed rapidly in rec...

Please sign up or login with your details

Forgot password? Click here to reset