Author

Jia-Heng Zhang

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#natural language process... Preprint Sep 2026

Membership Inference in Fine-tuned Diffusion Language Models via Token-level Memorization Asymmetry

This work identifies a phenomenon termed token-level memorization asymmetry through theoretical analysis of diffusion training dynamics and proposes Q-Skew, a quantile-weighted skewness-based indicator for membership inference on finetuned DLMs.

Sheng-Fang Zhai, Leo Marchyok, Yu-Ling Shi et al. · 1 citation · ⚡1

Preprint Jul 2026

Robustifying Vision-Language Models via Test-Time Prompt Adaptation

This work proposes RITA, a Robust test-tIme prompt-TAdaptation framework that shifts from sample-level estimates to distribution-level alignment, and employs optimal transport to align the distribution of augmented visual features with textual prototypes, mitigating adversarial outliers and rectifying cross-modal seman...

Xingyu Zhu, Huanshen Wu, Shuo Wang et al. · 1 citation