LIONs: An Empirically Optimized Approach to Align Language Models

Xiao Yu, Qingyang Wu, Yu Li, Zhou Yu 0005. LIONs: An Empirically Optimized Approach to Align Language Models. In Yaser Al-Onaizan, Mohit Bansal, Yun-Nung Chen, editors, Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, FL, USA, November 12-16, 2024. pages 8732-8753, Association for Computational Linguistics, 2024. [doi]

@inproceedings{YuWL024,
  title = {LIONs: An Empirically Optimized Approach to Align Language Models},
  author = {Xiao Yu and Qingyang Wu and Yu Li and Zhou Yu 0005},
  year = {2024},
  url = {https://aclanthology.org/2024.emnlp-main.496},
  researchr = {https://researchr.org/publication/YuWL024},
  cites = {0},
  citedby = {0},
  pages = {8732-8753},
  booktitle = {Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, FL, USA, November 12-16, 2024},
  editor = {Yaser Al-Onaizan and Mohit Bansal and Yun-Nung Chen},
  publisher = {Association for Computational Linguistics},
  isbn = {979-8-89176-164-3},
}