115 citations · 369 across the 83 of their papers we have counts for
13 papers · 1 filter
FlippedRAG: Black-Box Opinion Manipulation Adversarial Attacks to Retrieval-Augmented Generation Models
Zhuo Chen, Yuyang Gong, Jiawei Liu +6
Retrieval-Augmented Generation (RAG) enriches LLMs by dynamically retrieving external knowledge, reducing hallucinations and satisfying real-time information needs. While existing…
Order-Disorder: Imitation Adversarial Attacks for Black-box Neural Ranking Models
Jiawei Liu, Yangyang Kang, Di Tang +5
Neural text ranking models have witnessed significant advancement and are increasingly being deployed in practice. Unfortunately, they also inherit adversarial vulnerabilities of g…
Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network
Zihan Wang, Hongye Song, Zhaochun Ren +5
Contract element extraction (CEE) is the novel task of automatically identifying and extracting legally relevant elements such as contract dates, payments, and legislation referenc…
Improving Community Detection Performance in Heterogeneous Music Network by Learning Edge-type Usefulness Distribution
Zheng Gao, Chun Guo, Shutian Ma +1
With music becoming an essential part of daily life, there is an urgent need to develop recommendation systems to assist people targeting better songs with fewer efforts. As the in…
Community-based Cyberreading for Information Understanding
Zhuoren Jiang, Xiaozhong Liu, Liangcai Gao +1
Although the content in scientific publications is increasingly challenging, it is necessary to investigate another important problem, that of scientific information understanding.…
Chronological Citation Recommendation with Time Preference
Shutian Ma, Heng Zhang, Chengzhi Zhang +1
Citation recommendation is an important task to assist scholars in finding candidate literature to cite. Traditional studies focus on static models of recommending citations, which…
Efficient Personalized Community Detection via Genetic Evolution
Zheng Gao, Chun Guo, Xiaozhong Liu
Personalized community detection aims to generate communities associated with user need on graphs, which benefits many downstream tasks such as node recommendation and link predict…
Detecting User Community in Sparse Domain via Cross-Graph Pairwise Learning
Zheng Gao, Hongsong Li, Zhuoren Jiang +1
Cyberspace hosts abundant interactions between users and different kinds of objects, and their relations are often encapsulated as bipartite graphs. Detecting user community in suc…
Community-Based Data Integration of Course and Job Data in Support of Personalized Career-Education Recommendations
Guoqing Zhu, Naga Anjaneyulu Kopalle, Yongzhen Wang +3
How does your education impact your professional career? Ideally, the courses you take help you identify, get hired for, and perform the job you always wanted. However, not all cou…
Mathematics Content Understanding for Cyberlearning via Formula Evolution Map
Zhuoren Jiang, Liangcai Gao, Ke Yuan +3
Although the scientific digital library is growing at a rapid pace, scholars/students often find reading Science, Technology, Engineering, and Mathematics (STEM) literature dauntin…
Cross-language Citation Recommendation via Hierarchical Representation Learning on Heterogeneous Graph
Zhuoren Jiang, Yue Yin, Liangcai Gao +2
While the volume of scholarly publications has increased at a frenetic pace, accessing and consuming the useful candidate papers, in very large digital libraries, is becoming an es…
edge2vec: Representation learning using edge semantics for biomedical knowledge discovery
Zheng Gao, Gang Fu, Chunping Ouyang +8
Representation learning provides new and powerful graph analytical approaches and tools for the highly valued data science challenge of mining knowledge graphs. Since previous grap…
Improving News Ranking by Community Tweets
Xin Shuai, Xiaozhong Liu, Johan Bollen
Users frequently express their information needs by means of short and general queries that are difficult for ranking algorithms to interpret correctly. However, users' social cont…