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Understanding Cross-Lingual Alignment-A Survey

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F24%3A10492862" target="_blank" >RIV/00216208:11320/24:10492862 - isvavai.cz</a>

  • Result on the web

    <a href="https://aclanthology.org/2024.findings-acl.649" target="_blank" >https://aclanthology.org/2024.findings-acl.649</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Understanding Cross-Lingual Alignment-A Survey

  • Original language description

    Cross-lingual alignment, the meaningful similarity of representations across languages in multilingual language models, has been an active field of research in recent years. We survey the literature of techniques to improve cross-lingual alignment, providing a taxonomy of methods and summarising insights from throughout the field. We present different understandings of cross-lingual alignment and their limitations. We provide a qualitative summary of results from a number of surveyed papers. Finally, we discuss how these insights may be applied not only to encoder models, where this topic has been heavily studied, but also to encoder-decoder or even decoder-only models, and argue that an effective trade-off between language-neutral and language-specific information is key.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Findings of the Association for Computational Linguistics: ACL 2024

  • ISBN

    979-8-89176-099-8

  • ISSN

  • e-ISSN

  • Number of pages

    22

  • Pages from-to

    10922-10943

  • Publisher name

    Association for Computational Linguistics

  • Place of publication

    Kerrville, TX, USA

  • Event location

    Bangkok, Thailand

  • Event date

    Aug 11, 2024

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article