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20212026
most citedUniECS: Unified Multimodal E-Commerce Search Framework with Gated Cross-modal Fusion

1 citations · 3 across the 21 of their papers we have counts for

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cs.CV2025

UniDGF: A Unified Detection-to-Generation Framework for Hierarchical Object Visual Recognition

Xinyu Nan, Lingtao Mao, Huangyu Dai +8

Achieving visual semantic understanding requires a unified framework that simultaneously handles object detection, category prediction, and attribute recognition. However, current…

cs.IR2025★ 1 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

COINS: SemantiC Ids Enhanced COLd Item RepresentatioN for Click-through Rate Prediction in E-commerce Search

Qihang Zhao, Zhongbo Sun, Xiaoyang Zheng +6

With the rise of modern search and recommendation platforms, insufficient collaborative information of cold-start items exacerbates the Matthew effect of existing platform items, c…

cs.CV2025

OneVision: An End-to-End Generative Framework for Multi-view E-commerce Vision Search

Zexin Zheng, Huangyu Dai, Lingtao Mao +8

Traditional vision search, similar to search and recommendation systems, follows the multi-stage cascading architecture (MCA) paradigm to balance efficiency and conversion. Specifi…

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has emerged as a promising approach to address key limitations of Large Language Models (LLMs), such as hallucination, outdated knowledge, and…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.CV2025

An LLM-LVLM Driven Agent for Iterative and Fine-Grained Image Editing

Zihan Liang, Jiahao Sun, Haoran Ma

Despite the remarkable capabilities of text-to-image (T2I) generation models, real-world applications often demand fine-grained, iterative image editing that existing methods strug…

cs.SD2025

H-PRM: A Pluggable Hotword Pre-Retrieval Module for Various Speech Recognition Systems

Huangyu Dai, Lingtao Mao, Ben Chen +5

Hotword customization is crucial in ASR to enhance the accuracy of domain-specific terms. It has been primarily driven by the advancements in traditional models and Audio large lan…

cs.IR2025★ 1 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…