%0 Journal Article %1 journals/corr/abs-2406-12016 %A Son, Seungwoo %A Park, Wonpyo %A Han, Woohyun %A Kim, Kyuyeun %A Lee, Jaeho %D 2024 %J CoRR %K dblp %T Prefixing Attention Sinks can Mitigate Activation Outliers for Large Language Model Quantization. %U http://dblp.uni-trier.de/db/journals/corr/corr2406.html#abs-2406-12016 %V abs/2406.12016

@article{journals/corr/abs-2406-12016, added-at = {2024-07-19T00:00:00.000+0200}, author = {Son, Seungwoo and Park, Wonpyo and Han, Woohyun and Kim, Kyuyeun and Lee, Jaeho}, biburl = {https://www.bibsonomy.org/bibtex/26e6ce976a5be253f1f68ece2be4e5498/dblp}, ee = {https://doi.org/10.48550/arXiv.2406.12016}, interhash = {7f40b6101d98d8b64cbcd712e2975854}, intrahash = {6e6ce976a5be253f1f68ece2be4e5498}, journal = {CoRR}, keywords = {dblp}, timestamp = {2024-07-22T07:11:37.000+0200}, title = {Prefixing Attention Sinks can Mitigate Activation Outliers for Large Language Model Quantization.}, url = {http://dblp.uni-trier.de/db/journals/corr/corr2406.html#abs-2406-12016}, volume = {abs/2406.12016}, year = 2024 }