@inproceedings{puvvada-etal-2025-swan,
    title = "{SWAN}: An Efficient and Scalable Approach for Long-Context Language Modeling",
    author = "Puvvada, Krishna C  and
      Ladhak, Faisal  and
      Akle Serano, Santiago  and
      Hsieh, Cheng-Ping  and
      Acharya, Shantanu  and
      Majumdar, Somshubra  and
      Jia, Fei  and
      Kriman, Samuel  and
      Sun, Simeng  and
      Rekesh, Dima  and
      Ginsburg, Boris",
    editor = "Christodoulopoulos, Christos  and
      Chakraborty, Tanmoy  and
      Rose, Carolyn  and
      Peng, Violet",
    booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2025.emnlp-main.123/",
    pages = "2424--2438",
    ISBN = "979-8-89176-332-6"
}