@inproceedings{chi-etal-2024-attention,
    title = "Attention Alignment and Flexible Positional Embeddings Improve Transformer Length Extrapolation",
    author = "Chi, Ta-Chung  and
      Fan, Ting-Han  and
      Rudnicky, Alexander",
    editor = "Duh, Kevin  and
      Gomez, Helena  and
      Bethard, Steven",
    booktitle = "Findings of the Association for Computational Linguistics: NAACL 2024",
    month = jun,
    year = "2024",
    address = "Mexico City, Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2024.findings-naacl.10/",
    doi = "10.18653/v1/2024.findings-naacl.10",
    pages = "132--148"
}