collaborators

6 papers

cs.IR2026

Residual Trajectory Distillation for Generative Retrieval

Weihao Shen, Wei Chen, Fuwei Zhang +4

Generative retrieval has emerged as a general retrieval paradigm, representing items with discrete Semantic IDs (SIDs) and retrieving them through autoregressive identifier generat…

cs.IR2026

Learning Multiresolution Relevance for Hierarchical Generative Retrieval

Weihao Shen, Wei Chen, Fuwei Zhang +4

Generative retrieval with semantic identifiers (SIDs) makes successive decisions over a document hierarchy. Relevant documents for the same query may share coarse prefixes and dive…

cs.IR2026

Requirement--Evidence Alignment for Compositional E-Commerce Queries

Weihao Shen, Wei Chen, Fuwei Zhang +6

Compositional e-commerce queries express multiple requirements that must hold jointly, yet existing rerankers collapse these constraints into aggregate relevance and often promote…

cs.IR2026

Unpaired Modality-Agnostic Generative Recommendation

Weihao Shen, Wei Chen, Fuwei Zhang +6

Generative Recommendation (GR) formulates recommendation as autoregressive generation over discrete semantic identifiers (IDs). Although recent multimodal GR methods improve semant…

cs.CV2026

Mosaic: Multimodal Jailbreak against Closed-Source VLMs via Multi-View Ensemble Optimization

Yuqin Lan, Gen Li, Yuanze Hu +6

Vision-Language Models (VLMs) are powerful but remain vulnerable to multimodal jailbreak attacks. Existing attacks mainly rely on either explicit visual prompt attacks or gradient-…

cs.CR2026

You Only Anonymize What Is Not Intent-Relevant: Suppressing Non-Intent Privacy Evidence

Weihao Shen, Yaxin Xu, Shuang Li +4

Anonymizing sensitive information in user text is essential for privacy, yet existing methods often apply uniform treatment across attributes, which can conflict with communicative…