Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Conference Paper
%1 NEURIPS2022_3e25d1af
%A Qin, Lianhui
%A Welleck, Sean
%A Khashabi, Daniel
%A Choi, Yejin
%B Advances in Neural Information Processing Systems
%D 2022
%E Koyejo, S.
%E Mohamed, S.
%E Agarwal, A.
%E Belgrave, D.
%E Cho, K.
%E Oh, A.
%I Curran Associates, Inc.
%K diffusion neurips
%P 9538--9551
%T COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics
%U https://proceedings.neurips.cc/paper_files/paper/2022/file/3e25d1aff47964c8409fd5c8dc0438d7-Paper-Conference.pdf
%V 35
@inproceedings{NEURIPS2022_3e25d1af,
added-at = {2024-01-30T17:06:57.000+0100},
author = {Qin, Lianhui and Welleck, Sean and Khashabi, Daniel and Choi, Yejin},
biburl = {https://www.bibsonomy.org/bibtex/26da8ea14d50d31fbc450bdf044f30d65/tobias.koopmann},
booktitle = {Advances in Neural Information Processing Systems},
editor = {Koyejo, S. and Mohamed, S. and Agarwal, A. and Belgrave, D. and Cho, K. and Oh, A.},
interhash = {6f05182d0cb0365dd8e4530294ee5c90},
intrahash = {6da8ea14d50d31fbc450bdf044f30d65},
keywords = {diffusion neurips},
pages = {9538--9551},
publisher = {Curran Associates, Inc.},
timestamp = {2024-01-30T17:06:57.000+0100},
title = {COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics},
url = {https://proceedings.neurips.cc/paper_files/paper/2022/file/3e25d1aff47964c8409fd5c8dc0438d7-Paper-Conference.pdf},
volume = 35,
year = 2022
}