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Author

Xingye Fang

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#reinforcement learning Aug 2026

SSR-GRPO: Integrating Supervision and Semantic IDs into Reinforcement Learning for Dense Retrieval in E-commerce

This paper proposes Supervised Retrieval-GRPO with Semantic Identifiers (SSR-GRPO), a dual-perspective framework for relevance assessment that leverages both Semantic Identifiers produced by quantization learning and dense representation vectors to generate more unbiased relevance scores.

Guangxin Song, Xingye Fang, Ming-Min Jin et al. · 0 citations
Preprint Sep 2026

VARG: Value-Aware and Ranking-Aligned Generative Retrieval for Dynamic E-commerce Search

VARG, a generative retrieval system for Tmall App search that directly admits generated item candidates to the existing final ranker and improves GMV, per-user IPV, and PCTR and online shopping-guide query evaluations further show that VARG maintains competitive relevance with a smaller candidate quota.

Xiao-Peng Chu, Jian-Bo Zhu, Ming-Min Jin et al. · 1 citation
Book Open access Jul 2026

TMallGS: Scaling Unified Feature and Sequence Modeling for Generative E-commerce Search

This work proposes TmallGS, a high-performance, scalable universal ranking architecture tailored for the Tmall precision ranking domain, and introduces five core innovations, which significantly boosts training throughput while delivering substantial gains in both UCTCVR and GMV metrics.

Zhen-Tao Song, Yufeng Gao, Xingye Fang et al. · 0 citations

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