Papers by TianYi Zhang

    1 papers
    Diagnosing Hidden Instabilities in Model Editing via Uncertainty Quantification (2026.acl-long)

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    Challenge: Existing methods to update large language models (LLMs) without expensive retraining are fragile under single-edit evaluation protocols.
    Approach: They propose a framework that characterizes activation-based editing as a constrained intervention on intermediate representations.
    Outcome: The proposed method reveals local knowledge conflicts invisible to existing benchmarks.

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