@inproceedings{chakravarthi-etal-2026-insights,
    title = "Insights from Multilingual Gender Inclusive Language Generation Shared Task",
    author = "Chakravarthi, Bharathi Raja  and
      Chinnan, Shunmuga Priya Muthusamy  and
      Buitelaar, Paul  and
      Garc{\'i}a-Cumbreras, Miguel {\'A}ngel  and
      Jim{\'e}nez-Zafra, Salud Mar{\'i}a  and
      Mandl, Thomas  and
      Jaki, Sylvia  and
      Ponnusamy, Rahul  and
      Madasamy, Anand Kumar  and
      V, Dhanalakshmi  and
      B, Bharathi  and
      B, Premjith  and
      B, Senthil Kumar  and
      Thangasamy, Sathiyaraj",
    editor = "Chakravarthi, Bharathi Raja  and
      B, Bharathi  and
      Buitelaar, Paul  and
      Thenmozhi, Durairaj  and
      Garc{\'i}a Cumbreras, Miguel {\'A}ngel  and
      Jim{\'e}nez Zafra, Salud Mar{\'i}a",
    booktitle = "Proceedings of the Sixth Workshop on Language Technology for Equality, Diversity, Inclusion",
    month = jul,
    year = "2026",
    address = "Virtual (Online)",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-acl-workshops/2026.ltedi-1.12/",
    pages = "128--140",
    ISBN = "979-8-89176-424-8",
    abstract = "We investigate the role of large language models (LLMs) in promoting gender-inclusive language by evaluating their ability to rewrite biased text and generate counterfactual narratives across multiple languages. We introduce a shared task with two subtasks: gender-inclusive rewriting and counterfactual generation. The task covers five languages English, German, Spanish, Tamil, and Kannada reflecting diverse grammatical gender systems and sociocultural contexts. We release curated word-level and sentence-level datasets to support controlled inclusive generation. A total of 50 teams registered for the shared task, and around 8 teams submitted results. Submissions are evaluated using a hybrid framework combining rubric-based automatic scoring with expert human judgment. Finally, we provide an overview of participating systems and discuss key findings and challenges observed across languages."
}