6 papers
GEM-Bench: A Benchmark for Ad-Injected Response Generation within Generative Engine Marketing
Silan Hu, Shiqi Zhang, Yimin Shi +1
Generative Engine Marketing (GEM) is an emerging ecosystem for monetizing generative engines, such as LLM-based chatbots, by seamlessly integrating relevant advertisements into the…
Air-Know: Arbiter-Calibrated Knowledge-Internalizing Robust Network for Composed Image Retrieval
Zhiheng Fu, Yupeng Hu, Qianyun Yang +3
Composed Image Retrieval (CIR) has attracted significant attention due to its flexible multimodal query method, yet its development is severely constrained by the Noisy Triplet Cor…
HABIT: Chrono-Synergia Robust Progressive Learning Framework for Composed Image Retrieval
Zixu Li, Yupeng Hu, Zhiwei Chen +4
Composed Image Retrieval (CIR) is a flexible image retrieval paradigm that enables users to accurately locate the target image through a multimodal query composed of a reference im…
KET-RAG: A Cost-Efficient Multi-Granular Indexing Framework for Graph-RAG
Yiqian Huang, Shiqi Zhang, Xiaokui Xiao
Graph-RAG constructs a knowledge graph from text chunks to improve retrieval in Large Language Model (LLM)-based question answering. It is particularly useful in domains such as bi…
You Are What You Bought: Generating Customer Personas for E-commerce Applications
Yimin Shi, Yang Fei, Shiqi Zhang +2
In e-commerce, user representations are essential for various applications. Existing methods often use deep learning techniques to convert customer behaviors into implicit embeddin…
Efficient and Effective Algorithms for A Family of Influence Maximization Problems with A Matroid Constraint
Yiqian Huang, Shiqi Zhang, Laks V. S. Lakshmanan +3
Influence maximization (IM) is a classic problem that aims to identify a small group of critical individuals, known as seeds, who can influence the largest number of users in a soc…