3 papers
cs.CL2026
Can LLMs Time Travel? Enhancing Temporal Consistency in Legal Agentic Search through Reinforcement Learning
Wei Fan, Yining Zhou, Mufan Zhang +8
While large language models (LLMs) augmented with agentic search capabilities show promise for legal reasoning, they overlook a fundamental constraint that applicable law must matc…
cs.CV2025
Do Deepfake Detectors Work in Reality?
Simiao Ren, Hengwei Xu, Tsang Ng +7
Deepfakes, particularly those involving faceswap-based manipulations, have sparked significant societal concern due to their increasing realism and potential for misuse. Despite ra…
cs.LG2025
Detection of AI Deepfake and Fraud in Online Payments Using GAN-Based Models
Zong Ke, Shicheng Zhou, Yining Zhou +2
This study explores the use of Generative Adversarial Networks (GANs) to detect AI deepfakes and fraudulent activities in online payment systems. With the growing prevalence of dee…