3 papers
cs.CL2026
FraudSMSWalker: Benchmarking Agentic Large Language Models for SMS-to-Webpage Fraud Detection
Y. H. Zhou, Z. M. Ma, Y. J. Zhou +12
SMS fraud is increasingly cross-channel: a message directs the user to a webpage, and the final risk depends on how the SMS claim aligns with the page content and requested user ac…
cs.IR2025★ 1 cited
A Knowledge Graph and Deep Learning-Based Semantic Recommendation Database System for Advertisement Retrieval and Personalization
Tangtang Wang, Kaijie Zhang, Kuangcong Liu
In modern digital marketing, the growing complexity of advertisement data demands intelligent systems capable of understanding semantic relationships among products, audiences, and…
cs.CL2025
Research on Multi-hop Inference Optimization of LLM Based on MQUAKE Framework
Zucheng Liang, Wenxin Wei, Kaijie Zhang +1
Accurately answering complex questions has consistently been a significant challenge for Large Language Models (LLMs). To address this, this paper proposes a multi-hop question dec…