3 papers
cs.CL2026
TrendFact: A Benchmark Towards Hotspot Perception in Automatic Fact-Checking
Xiaocheng Zhang, Xi Wang, Yifei Lu +5
With the surge of online misinformation, Large Language Models (LLMs) and Reasoning Large Language Models (RLMs) serving as Automatic Fact-Checking (AFC) systems have emerged as a…
cs.DC2025
CoServe: Efficient Collaboration-of-Experts (CoE) Model Inference with Limited Memory
Jiashun Suo, Xiaojian Liao, Limin Xiao +4
Large language models like GPT-4 are resource-intensive, but recent advancements suggest that smaller, specialized experts can outperform the monolithic models on specific tasks. T…
cs.LG2025
SCFCRC: Simultaneously Counteract Feature Camouflage and Relation Camouflage for Fraud Detection
Xiaocheng Zhang, Zhuangzhuang Ye, GuoPing Zhao +2
In fraud detection, fraudsters often interact with many benign users, camouflaging their features or relations to hide themselves. Most existing work concentrates solely on either…