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Ang-Qing Jiang

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#artificial intelligence Preprint Sep 2026

IGSD: Environment-Verified Hindsight Self-Distillation for Search Agents

Information-Gain-Gated Self-Distillation (IGSD) is proposed, which verifies on-policy token proposals with environment feedback before distillation, and supports environment-verified hindsight as an effective approach to reliable action-level supervision for search agents.

Ang-Qing Jiang, Gao-Ming Zhang, Chao-Qun Zhang et al. · 0 citations
Preprint Aug 2026

Think-to-Personalize: Unifying Reasoning and Retrieval for User-Centric Personalized Dense Retrieval

Dense retrieval has become a cornerstone of modern local-lifestyle e-commerce search by encoding queries and items into semantic embedding spaces. While recent advancements have transitioned from BERT-based embedding models to Large Language Models (LLMs), most approaches still treat LLMs as static text encoders, negle...

Ang-Qing Jiang, Gao-Ming Zhang, Jian-Chun Song et al. · 2 citations
#artificial intelligence Preprint Aug 2026

Preference Shapes Relevance: Cross-component Hierarchical Semantic Alignment for Personalized Generative Retrieval

A Hierarchical Semantic Alignment module to align query's latent space with item's quantization path and synchronize multi-granular semantics, and a personalized GR framework that models user behavior by synergizing discrete SIDs for structural guidance and continuous representations for fine-grained semantic refinemen...

Gao-Ming Zhang, Ang-Qing Jiang, Jian-Chun Song et al. · 0 citations

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