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Author

Zhaowei Zhang

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Jul 2026

PILA: Plug-and-Play Insertion for LLM-native Advertising

Experiments across diverse upstream models show that PILA consistently improves ad effectiveness while preserving response quality, highlighting its promise as a practical solution for LLM-native advertising.

Zhaowei Zhang, Yuhan Fu, Yihang Zhang et al. · 3 citations
Preprint Aug 2026

GradCuit: Credit-Assigned Gradient Flow Enables Robust and Interpretable Test-Time Latent Reasoning

GradCuit (gradient through circuit), which inserts optimizable latent states at a selected Transformer layer between the hidden representations of the prompt and the generated continuation, opens a new axis of robust and interpretable test-time scaling, where LLMs adapt how they reason rather than merely regenerate, sa...

Zhaoxin Yu, Qianli Shen, Hengli Li et al. · 0 citations

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