Gen-IR @ SIGIR 2024: The Second Workshop on Generative Information Retrieval
Author:
Affiliation:
1. Amazon, Madrid, Spain
2. ICT, Chinese Academy of Sciences, Beijing, China
3. Google Research, Mountain View, CA, USA
4. University of Amsterdam, Amsterdam, USA
5. Amazon, Bellevue, WA, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3626772.3657982
Reference27 articles.
1. Gen-IR@SIGIR 2023: The First Workshop on Generative Information Retrieval
2. Garbiel Bénédict, Ruqing Zhang, Donald Metzler, Andrew Yates, Romain Deffayet, Philipp Hager, and Sami Jullien. 2023b. Report on the 1st Workshop on Generative Information Retrieval (Gen-IR 2023) at SIGIR 2023. In SIGIR Forum Decembver 2023, Volume 57 Number 2 (SIGIR '23). Association for Computing Machinery, New York, NY, USA. https://sigir.org/wp-content/uploads/2023/12/p13.pdf
3. Gabriel Bénédict Olivier Jeunen Samuele Papa Samarth Bhargav Daan Odijk and Maarten de Rijke. 2023. RecFusion: A Binomial Diffusion Process for 1D Data for Recommendation. arxiv: 2306.08947 [cs.IR]
4. Nicola De Cao, Gautier Izacard, Sebastian Riedel, and Fabio Petroni. 2020. Autoregressive Entity Retrieval. CoRR, Vol. abs/2010.00904 (2020). https://arxiv.org/abs/2010.00904
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