Author

Qing-Chuan Zhao

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Preprint Sep 2026

FragToken: Amplifying LLM Inference Costs through Noncanonical Token Generation

FragToken is proposed, a training-time framework that combines source-model self-distillation, capacity-aware filtering and budgeting, and BPE-Aligned Merging to induce fragmented generation under ordinary prompts while largely preserving model utility.

Zi-Han Wang, Rui Zhang, Xin-Yuan Qian et al. · 0 citations

Preprint Sep 2026

RAPID: A Real-Time Defense Against Unauthorized Model Distillation for Text-to-Image Services

RAPID is proposed, a self-referenced latent maximization framework that removes external dependencies and encourages the same model update to induce consistently disruptive effects across training samples, thereby improving reachability and establishing a paradigm for real-time protection against unauthorized distillat...

Zi-Han Wang, Bo-Heng Li, Rui Zhang et al. · 0 citations