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näkemys - Information Science
Temporal Regularities of Wikipedia Consumption Revealed
Understanding the temporal regularities of information consumption on Wikipedia reveals distinct patterns based on topics, access methods, and user countries.
Risk Assessment in Large Language Models: Evaluating Key Threat Categories
Large Language Models (LLMs) tend to consider Information Hazards less harmful, highlighting a critical security concern and the need for improved AI safety measures.
Analyzing Mutual Reinforcement Effect through Information Flow
The author explores the Mutual Reinforcement Effect (MRE) theory through information flow analysis, demonstrating its impact on text classification tasks.
Challenges in Pre-Training Graph Neural Networks for Context-Based Fake News Detection: Evaluation of Strategies and Resource Limitations
The author explores the challenges of pre-training Graph Neural Networks for context-based fake news detection, highlighting the lack of significant improvements with current strategies due to resource limitations.
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