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Found 3 papers, 1 papers with code
Exploring the Deceptive Power of LLM-Generated Fake News: A Study of Real-World Detection Challenges
Studies highlight the gap in the deceptive power of LLM-generated fake news with and without human assistance, yet the potential of prompting techniques has not been fully explored.
Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network
However, it has been observed that relying solely on the states of immediate neighbors is insufficient to imitate a centralized control policy.
DG-Trans: Dual-level Graph Transformer for Spatiotemporal Incident Impact Prediction on Traffic Networks
Therefore, DG-Trans is equipped with dual abilities that extract spatiotemporal dependency and identify anomaly nodes affected by incidents while removing noise introduced by benign nodes.
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