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Mengyi Yan

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Book Open access Aug 2026

Accelerating Influence Function Estimation for Large Language Models: A Practical Design

StructInf, a structure-aware influence estimation framework that addresses the Fidelity Gap from coarse curvature approximations and the I/O bottleneck from materializing per-example gradients, is proposed, suggesting that practical IF for LoRA-tuned LLMs benefits from joint optimization of curvature modeling, memory m...

Mengyi Yan, Yaoshu Wang, Guangyi Zhang et al. · 0 citations
Book Open access Aug 2026

Accelerating Influence Function Estimation for Large Language Models: A Practical Design

Influence functions provide a principled framework for tracing model predictions back to training data, yet existing methods remain impractical for large language models due to prohibitive storage and I/O costs. Prior approaches face two critical barriers: the Fidelity Gap from coarse curvature approximations, and the...

Mengyi Yan, Yaoshu Wang, Guangyi Zhang et al. · 0 citations

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