%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 }