@inproceedings{kapadia-etal-2026-leap,
    title = "{LEAP}: Layer-wise Exit-Aware Pretraining for Efficient Transformer Inference",
    author = "Kapadia, Shashank  and
      Mishra, Deep Narayan  and
      Alugubelli, Sujal Reddy  and
      Wang, Haoan  and
      Vabbilisetty, Saipraveen  and
      Bhatia, Rishi  and
      Sharma, Anupriya",
    editor = "Li, Yunyao  and
      Rehm, Georg  and
      Tu, Mei",
    booktitle = "Proceedings of the 64th Annual Meeting of the {A}ssociation for {C}omputational {L}inguistics ({ACL} 2026)",
    month = jul,
    year = "2026",
    address = "San Diego, California, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-acl/2026.acl-industry.52/",
    pages = "761--774",
    ISBN = "979-8-89176-394-4"
}