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20242026
most citedUniECS: Unified Multimodal E-Commerce Search Framework with Gated Cross-modal Fusion

1 citations · 3 across the 14 of their papers we have counts for

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cs.IR2026

OneRetrieval: Unifying Multi-Branch E-commerce Retrieval with an Editable Generative Model

Xuxin Zhang, Ben Chen, Yue Lv +13

Industrial e-commerce search serves hundreds of millions of items through a multi-branch retrieval stage fused by hand-tuned merging without joint optimization. Generative retrieva…

cs.IR2026

OneBar: An End-to-End Content-Grounded Generative Query Recommendation Framework for E-Commerce Video Feeds

Yao Tang, Ying Yang, Ben Chen +5

Short-video platforms now expose clickable search entries beneath the video player, enabling users to easily express content-induced search intent. However, conventional query reco…

cs.IR2026

OneSearch-V2: The Latent Reasoning Enhanced Self-distillation Generative Search Framework

Ben Chen, Siyuan Wang, Yufei Ma +20

Generative Retrieval (GR) has emerged as a promising paradigm for modern search systems. Compared to multi-stage cascaded architecture, it offers advantages such as end-to-end join…

cs.IR20251 cited

OneSearch: A Preliminary Exploration of the Unified End-to-End Generative Framework for E-commerce Search

Ben Chen, Xian Guo, Siyuan Wang +25

Traditional e-commerce search systems employ multi-stage cascading architectures (MCA) that progressively filter items through recall, pre-ranking, and ranking stages. While effect…

cs.IR2025

InfoGain-RAG: Boosting Retrieval-Augmented Generation via Document Information Gain-based Reranking and Filtering

Zihan Wang, Zihan Liang, Zhou Shao +7

Retrieval-Augmented Generation (RAG) has emerged as a promising approach to address key limitations of Large Language Models (LLMs), such as hallucination, outdated knowledge, and…

cs.IR20251 cited

UniECS: Unified Multimodal E-Commerce Search Framework with Gated Cross-modal Fusion

Zihan Liang, Yufei Ma, ZhiPeng Qian +6

Current e-commerce multimodal retrieval systems face two key limitations: they optimize for specific tasks with fixed modality pairings, and lack comprehensive benchmarks for evalu…