Sitemap
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
Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
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portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Understanding and Defending VLM Jailbreaks via Jailbreak-Related Representation Shift
Published in arXiv 2026, 2026
We show that VLM jailbreaks are not perception failures but distinct internal states driven by image-induced representation shifts, and propose JRS-Rem to remove these shifts at inference time.
Recommended citation: Zhihua Wei, Qiang Li, Jian Ruan, Zhenxin Qin, Leilei Wen, Ruiyang Qin, Qingzhuo Wang, Dongrui Liu, Wen Shen. (2026). "Understanding and Defending VLM Jailbreaks via Jailbreak-Related Representation Shift." arXiv 2026.
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TME-PSR: Time-aware, Multi-interest, and Explanation Personalization for Sequential Recommendation
Published in arXiv 2026, 2026
We propose TME-PSR, a framework that integrates time-awareness, multi-interest modeling, and personalized explanations for sequential recommendation.
Recommended citation: Qingzhuo Wang, Leilei Wen, Juntao Chen, Kunyu Peng, Ruiyang Qin, Zhihua Wei, Wen Shen. (2026). "TME-PSR: Time-aware, Multi-interest, and Explanation Personalization for Sequential Recommendation." arXiv 2026.
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Mitigating Action-Relation Hallucinations in LVLMs via Relation-aware Visual Enhancement
Published in ACL 2026, 2026
We define the ARS score to locate action-relation-sensitive attention heads, and propose RVE, a training-free method that enhances attention to action-relevant image regions to mitigate action-relation hallucinations in LVLMs.
Recommended citation: Zhenxin Qin, Qiang Li, Qingzhuo Wang, Ruiyang Qin, Zhihua Wei, Wen Shen. (2026). "Mitigating Action-Relation Hallucinations in LVLMs via Relation-aware Visual Enhancement." ACL 2026.
Multilingual Safety Alignment via Self-Distillation
Published in arXiv 2026, 2026
We propose an on-policy self-distillation method for multilingual safety alignment, transferring the model’s own safety capabilities from high-resource to low-resource languages without reliance on human-annotated safety data.
Recommended citation: Ruiyang Qin*, Qingzhuo Wang*, Dongrui Liu, Qiang Li, Zhihua Wei, Wen Shen. (2026). "Multilingual Safety Alignment via Self-Distillation." arXiv 2026.
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A Unified Approach to Interpreting Knowledge Distillation for Large Language Models via Interactions
Published in ICML 2026, 2026
We interpret knowledge distillation from a game-theoretic interaction perspective, revealing that the essence of distillation is the sparsification of interactions, and propose the CIP loss to explicitly enforce this mechanism.
Recommended citation: Qingzhuo Wang*, Ruiyang Qin*, Zhenxin Qin, Wen Shen, Zhihua Wei. (2026). "A Unified Approach to Interpreting Knowledge Distillation for Large Language Models via Interactions." ICML 2026.
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Evaluating and Explaining Prompt Sensitivity of LLMs Using Interactions
Published in ICML 2026, 2026
We introduce game-theoretic interactions to fine-grainedly analyze prompt sensitivity of LLMs, proposing the IPS metric and uncovering that factors like SFT and scale reduce sensitivity by stabilizing low-order interactions.
Recommended citation: Ruiyang Qin, Qingzhuo Wang, Tian Wang, Zhihua Wei, Wen Shen. (2026). "Evaluating and Explaining Prompt Sensitivity of LLMs Using Interactions." ICML 2026.
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talks
Talk 1 on Relevant Topic in Your Field
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This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.