Hadamard Adapter: An Extreme Parameter-Efficient Adapter Tuning Method for Pre-trained Language Models.

@inproceedings{chen-2023-hadamard, author = {Yuyan Chen and Qiang Fu and Ge Fan and Lun Du and Jian-Guang Lou and Shi Han and Dongmei Zhang and Zhixu Li and Yanghua Xiao}, editor = {Ingo Frommholz and Frank Hopfgartner and Mark Lee and Michael P. Oakes and Mounia Lalmas-Roelleke and Min Zhang and Rodrygo L. T. Santos}, title = {{Hadamard Adapter: An Extreme Parameter-Efficient Adapter Tuning Method for Pre-trained Language Models}}, booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}}, pages = {276--285}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3583780.3614904}, doi = {https://doi.org/10.1145/3583780.3614904} }