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%0 Conference Paper
%1 conf/brain/LiuS23c
%A Liu, Xueqing
%A Sajda, Paul
%B BI
%D 2023
%E Liu, Feng
%E Zhang, Yu
%E Kuai, Hongzhi
%E Stephen, Emily P.
%E Wang, Hongjun
%I Springer
%K dblp
%P 456-463
%T Roe: A Computational-Efficient Anti-hallucination Fine-Tuning Technology for Large Language Model Inspired by Human Learning Process.
%U http://dblp.uni-trier.de/db/conf/brain/brain2023.html#LiuS23c
%V 13974
%@ 978-3-031-43075-6
@inproceedings{conf/brain/LiuS23c,
added-at = {2023-09-15T00:00:00.000+0200},
author = {Liu, Xueqing and Sajda, Paul},
biburl = {https://www.bibsonomy.org/bibtex/247dac69d3c82fd4fd3da8febe6c49b39/dblp},
booktitle = {BI},
crossref = {conf/brain/2023},
editor = {Liu, Feng and Zhang, Yu and Kuai, Hongzhi and Stephen, Emily P. and Wang, Hongjun},
ee = {https://doi.org/10.1007/978-3-031-43075-6_39},
interhash = {7368a583d5d7d4f97114516206929ae5},
intrahash = {47dac69d3c82fd4fd3da8febe6c49b39},
isbn = {978-3-031-43075-6},
keywords = {dblp},
pages = {456-463},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
timestamp = {2024-04-09T12:44:34.000+0200},
title = {Roe: A Computational-Efficient Anti-hallucination Fine-Tuning Technology for Large Language Model Inspired by Human Learning Process.},
url = {http://dblp.uni-trier.de/db/conf/brain/brain2023.html#LiuS23c},
volume = 13974,
year = 2023
}