ContractShield achieves 89% Hamming score and 91% F1-score for five vulnerability types in obfuscated smart contracts via hierarchical cross-modal fusion of semantic, temporal, and structural features with only 1-3% performance drop.
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Larger batch sizes for LLM dialogue coding in healthcare simulations improve speed and reduce energy consumption while decreasing coding accuracy compared to human labels.
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ContractShield: Bridging Semantic-Structural Gaps via Hierarchical Cross-Modal Fusion for Multi-Label Vulnerability Detection in Obfuscated Smart Contracts
ContractShield achieves 89% Hamming score and 91% F1-score for five vulnerability types in obfuscated smart contracts via hierarchical cross-modal fusion of semantic, temporal, and structural features with only 1-3% performance drop.
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Scalable LLM-based Coding of Dialogue in Healthcare Simulation: Balancing Coding Performance, Processing Time, and Environmental Impact
Larger batch sizes for LLM dialogue coding in healthcare simulations improve speed and reduce energy consumption while decreasing coding accuracy compared to human labels.