5 citations · 5 across the 6 of their papers we have counts for
8 papers
VoteGEO-Bench: Measuring the Impact of Generative Engine Optimization on Electoral Visibility
Shiqi Zhang, Xiaokui Xiao
Large language models (LLMs) are increasingly used for election information, yet little is known about how external web content shapes the political information they present. Gener…
Understanding ChatGPT Citations: Evidence from Production Web Search Across Model Generations
Yunxuan Jiang, Shiqi Zhang, Anqi Xing +2
Generative engines such as ChatGPT Web retrieve webpages to answer user queries, but only a subset are shown as citations. Understanding this retrieval-to-citation process is impor…
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…
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…
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…
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…
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…