Tag: transformer models
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Transformer-Based Symptom Recognition & Linking in Healthcare
Explore how transformer models improve symptom recognition and entity linking in medical texts using RoBERTa, BiLSTM, CRF, and SapBERT.
Weakly Supervised Hallucination Detection in Transformers
Discover a novel weak supervision method to distill hallucination signals into transformer models for efficient, internal hallucination detection without e...
CRFT: Transformer-Based Cross-Modal Image Registration
Discover CRFT, a transformer framework for accurate, robust cross-modal image registration with advanced feature flow and spatial reasoning techniques.
Turbulence-like 5/3 Scaling in Contextual Language Models
Discover turbulence-like 5/3 spectral scaling in contextual language embeddings, revealing complex system patterns in human and AI-generated text.
EAGLE: Proactive Delivery Delay Prediction in Logistics
Discover EAGLE, a hybrid deep learning model for proactive delivery delay prediction using edge-aware graph learning in smart logistics networks.