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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Publications
Publications and preprints by Xuekang Wang on LLM safety, including reward hacking in rubric-based RL and decoding-time jailbreak defenses.
Posts
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Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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portfolio
publications
Speculative Safety-Aware Decoding
Published in EMNLP 2025 Main Conference, 2025
Introduces SSD, a training-free decoding-time defense that equips LLMs with deep safety alignment via speculative sampling with a small expert model — defending against jailbreak attacks while accelerating inference and preserving utility.
Recommended citation: Wang, Xuekang, Shengyu Zhu, and Xueqi Cheng. (2025). "Speculative Safety-Aware Decoding." In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP).
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Reproducing, Analyzing, and Detecting Reward Hacking in Rubric-Based Reinforcement Learning
Published in arXiv preprint arXiv:2606.04923, 2026
Introduces CHERRL, a Controllable Hacking Environment for Rubric-based RL that injects known biases into LLM-as-a-Judge to stably reproduce reward hacking, observe reward divergence, and support analysis and automatic detection of hacking onset.
Recommended citation: Wang, Xuekang, Zhuoyuan Hao, Shuo Hou, Hao Peng, Juanzi Li, and Xiaozhi Wang. (2026). "Reproducing, Analyzing, and Detecting Reward Hacking in Rubric-Based Reinforcement Learning." arXiv preprint arXiv:2606.04923.
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talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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