activity
20202026
most citedDeep Graph Contrastive Representation Learning

413 citations · 1.1k across the 50 of their papers we have counts for

collaborators
Showing cs.IRShow all

11 papers · 1 filter

cs.IR20261 cited

What Should I Cite? A RAG Benchmark for Academic Citation Prediction

Leqi Zheng, Jiajun Zhang, Canzhi Chen +13

With the rapid growth of Web-based academic publications, more and more papers are being published annually, making it increasingly difficult to find relevant prior work. Citation…

cs.IR2025

Uncovering Competing Poisoning Attacks in Retrieval-Augmented Generation

Liuji Chen, Xiaofang Yang, Yuanzhuo Lu +6

Retrieval-Augmented Generation (RAG) systems improve the factual grounding of large language models (LLMs) but remain vulnerable to retrieval poisoning, where adversaries seed the…

cs.IR2024

GOT4Rec: Graph of Thoughts for Sequential Recommendation

Zewen Long, Liang Wang, Shu Wu +1

With their vast open-world knowledge and reasoning abilities, large language models (LLMs) have become a promising tool for sequential recommendation. Researchers have explored var…

cs.IR20241 cited

Modality-Balanced Learning for Multimedia Recommendation

Jinghao Zhang, Guofan Liu, Qiang Liu +2

Many recommender models have been proposed to investigate how to incorporate multimodal content information into traditional collaborative filtering framework effectively. The use…

cs.IR20246 cited

Can Large Language Models Detect Rumors on Social Media?

Qiang Liu, Xiang Tao, Junfei Wu +2

In this work, we investigate to use Large Language Models (LLMs) for rumor detection on social media. However, it is challenging for LLMs to reason over the entire propagation info…

cs.IR2023

Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation

Jinghao Zhang, Qiang Liu, Shu Wu +1

Multimedia content is of predominance in the modern Web era. In real scenarios, multiple modalities reveal different aspects of item attributes and usually possess different import…