Author

Zhu Wang

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#artificial intelligence Preprint Aug 2026

Learning from What You Retrieve: Online RL Fine-Tuning for Semantic Retrieval

This work proposes PAO (Positive-Advantage-Only), a selective RL optimization method that selectively applies gradient updates only to retrieved items with positive advantages, effectively pulling query embed- dings toward high-reward regions while preserving global topo- logical stability.

Shao-Wei Wei, Chong Huang, Songtao Fang et al. · 0 citations

#artificial intelligence Book Apr 2026

Generative Retrieval for E?commerce: Jointly Learning Embedding and Codebook with Same Product Cluster

A novel method is proposed that jointly trains the embedding model and the codebook, and incorporates same product cluster information as an additional supervision signal that significantly improves e-commerce retrieval performance while simultaneously enhancing both embedding and codebook learning.

Songtao Fang, Zihao Xu, Shaowei Wei et al. · The Web Conference · 0 citations