Future of Information Retrieval Research in the Age of Generative AI
July 19-20, 2024
Washington DC
Washington D.C., DC, USA
Event Contact
Haley Griffin
hgriffin@cra.org
Event Type
2024 Visioning Activities, Workshop
Event Category
In today’s rapidly evolving digital landscape, the field of Information Retrieval (IR) stands at the intersection of traditional search methodologies and cutting-edge machine learning and artificial intelligence technologies. As we witness the proliferation of generative AI-driven models, such as diffusion and large language models, it becomes increasingly evident that the boundaries of IR research are expanding. This workshop aims to bring together a group of experts with diverse backgrounds to delve into the myriad challenges and opportunities presented by the integration of generative AI and information retrieval.
Together, we will chart the course for the future of IR research, where generative AI plays a central role in reshaping how we discover and interact with information.
July 19, 2024 (Friday)
08:15 AM | Breakfast, Pre-workshop survey |
09:00 AM | Welcome, Definitions, Level-setting, Introductions, Prior workshops |
09:40 AM | Session 1: GenAI4IR: where/how can IR benefit from using GenAI |
10:25 AM | Session 2: IR4GenAI: where/how can GenAI benefit from IR |
11:10 AM | Coffee Break |
11:30 AM | Research Ideas Discussion: Broaden and downselect |
12:15 PM | Group Photo and Museum Tour |
01:00 PM | Lunch |
02:00 PM | Breakout Session A Groupings |
02:15 PM | Breakout Session A Discussions |
03:30 PM | Report Outs |
04:00 PM | Breakout Session A Wrap-Up and Writing |
06:30 PM | Dinner at Opaline (Sofitel Lafayette Square Hotel) |
July 20, 2024 (Saturday)
08:15 AM | Breakfast |
09:00 AM | Day 2 Opening and Breakout Session 2 Grouping |
09:15 AM | Breakout Session B Discussions |
10:30 AM | Coffe Break |
11:00 AM | Report Outs |
11:30 AM | Breakout session B Wrap-up and Writing (and post-workshop survey) |
12:30 PM | Lunch |
01:30 PM | Workshop Wrap-Up and Report Writing plans |
02:30 PM | Closing and discussing the next steps |
Eugene Agichtein, Emory University
Radhika Agrawal, Computing Research Association
Mitra Basu, National Science Foundation
Michael Bendersky, Google DeepMind
Paul Bennett, Spotify
Jonathan Berant, Tel Aviv University / Google DeepMind
Jamie Callan, Carnegie Mellon University
Haw-Shiuan Chang, UMass Amherst
Charles Clarke, University of Waterloo
Arman Cohan, Yale University
Nick Craswell, Microsoft
Jeff Dalton, University of Edinburgh
Mostafa Dehghani, Google DeepMind
Andrew Drozdov, Databricks
Greg Durrett, UT Austin
Nicola Ferro, University of Padua
Petruce Jean-Charles, Computing Research Association
Jean Joyce, UMass Amherst Center for Intelligent Information Retrieval
Dawn Lawrie, HLTCOE at Johns Hopkins University
Michael Littman, National Science Foundation
Sean MacAvaney, University of Glasgow
Mary Lou Maher, Computing Research Association
Julian McAuley, UC San Diego
Tim McKinnon, IARPA
Qiaozhu Mei, School of Information, University of Michigan
Bhaskar Mitra, Microsoft Research
Brian Mosley, Computing Research Association
Vanessa Murdock, AWS AI/ML
Jian-Yun Nie, University of Montreal
Negin Rahimi, University of Massachusetts Amherst
Siva Reddy, Mila / McGill
Kristine Rogers, USG
Mark Sanderson, RMIT University
Ian Soborrof, National Institute of Standards and Technology
Johanne Trippas, RMIT University
Dan Weld, Allen Institute for AI
Yiming Yang, Carnegie Mellon University
Scott Yih, FAIR, Meta
ChengXiang Zhai, University of Illinois at Urbana-Champaign
Yongfeng Zhang, Rutgers University
Guido Zuccon, The University of Queensland
James Allan, Center for Intelligent Information Retrieval (CIIR), UMass Amherst
Eunsol Choi, University of Texas at Austin
Hamed Zamani, Center for Intelligent Information Retrieval (CIIR), UMass Amherst
Dan Lopresti, Lehigh University