Papers by Luísa Shimabucoro

    1 papers
    LLM See, LLM Do: Leveraging Active Inheritance to Target Non-Differentiable Objectives (2024.emnlp-main)

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    Challenge: Historically, high-quality labeled data has been costly to curate due to scarcity of available data and financial cost.
    Approach: They characterize the impact of passive inheritance of model properties by studying how the source of synthetic data shapes models’ internal biases, calibration and preferences, and their generations’ textual attributes.
    Outcome: The proposed model inheritance can increase lexical diversity or reduce toxicity.

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