@inproceedings{takeshita-etal-2026-mrl,
    title = "To {MRL} or not to {MRL}: Text Embeddings are Robust to Truncation Without Matryoshka Learning, Except In Heavy Truncation Scenarios",
    author = "Takeshita, Sotaro  and
      Takeshita, Yurina  and
      Ponzetto, Simone Paolo  and
      Ruffinelli, Daniel",
    editor = "Lee, Hung-Yi  and
      Dev, Sunipa  and
      Li, Jessy  and
      Elliott, Desmond",
    booktitle = "Findings of the {A}ssociation for {C}omputational {L}inguistics: {EMNLP} 2026",
    month = oct,
    year = "2026",
    address = "Budapest, Hungary",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2026.findings-emnlp.2441/",
    pages = "52385--52404",
    ISBN = "979-8-89176-462-0"
}