Author

Tian-Qing Zhu

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Preprint Oct 2026

MARCO: The Radioactive Watermark for Protein Generative Models

Protein Generative Models (PGMs) have revolutionized structural biology by enabling the design of complex 3D protein structures from sequence data. However, this breakthrough introduces a dual-use challenge, exposing high-value PGMs to economic risks like unauthorized model extraction and biosecurity threats such as bi...

Hua-Jie Chen, Xin Guo, Yuchen Shi et al. · 0 citations

#artificial intelligence Preprint Sep 2026

First Token Matters: Understanding Safety Collapse in Large Reasoning Models

It is found that the refusal-related signal of LRMs drops sharply at the first generated token under harmful queries, which is associated with unsafe response generation, and this work proposes SafeToken, a lightweight inference-time intervention that injects a learned continuous safety anchor precisely at reasoning on...

Yi-Zheng Yang, Hai-Ning Yu, Yue-Chen Wang et al. · 0 citations

Preprint Sep 2026

RISA: Response Inspection and Selective Actions for Refusal Calibration in Large Language Models

Experimental results demonstrate that RISA improves refusal reliability while largely preserving model utility, offering a practical solution for response-aware refusal calibration in LLMs.

Wenhan Chang, Tian-Qing Zhu, P. Xiong et al. · 0 citations