Stochastic RAG: End-to-End Retrieval-Augmented Generation through Expected Utility Maximization.

Hamed Zamani|Michael Bendersky


Anthology ID:DBLP:conf/sigir/ZamaniB24
Volume:Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024
Year:2024
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:2641-2646
URL:https://doi.org/10.1145/3626772.3657923
DOI:https://doi.org/10.1145/3626772.3657923
DBLP:conf/sigir/ZamaniB24
BibTeX:
@inproceedings{zamani-2024-stochastic, author = {Hamed Zamani and Michael Bendersky}, editor = {Grace Hui Yang and Hongning Wang and Sam Han and Claudia Hauff and Guido Zuccon and Yi Zhang}, title = {{Stochastic RAG: End-to-End Retrieval-Augmented Generation through Expected Utility Maximization}}, booktitle = {{Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024}}, pages = {2641--2646}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3626772.3657923}, doi = {https://doi.org/10.1145/3626772.3657923} }