Papers by Yukino Baba

    2 papers
    Co-Teaching Student-Model through Submission Results of Shared Task (2021.findings-emnlp)

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    Challenge: Shared tasks require participants to submit only system outputs and descriptions.
    Approach: They propose to utilize all system outputs in a shared task to build a unified system that performs better than the task's single best system.
    Outcome: The proposed scheme outperforms the best system in the SHINRA2019-JP shared task with nine participants.
    Task Assignment meets Annotator Modeling: Human-LLM Collaborative Annotation with Constraints (2026.acl-srw)

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    Challenge: Existing approaches to label annotation are labor-intensive and time-consuming.
    Approach: They propose a framework that estimates per-task accuracy from task features using a learning from crowds model and incorporates these estimations into a linear programming formulation that assigns tasks under practical constraints.
    Outcome: The proposed method achieves comparable accuracy to baseline methods while satisfying given constraints.

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