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Found 4 papers, 1 papers with code
A Survey of Large Language Models in Psychotherapy: Current Landscape and Future Directions
Mental health remains a critical global challenge, with increasing demand for accessible, effective interventions.
NoiseHGNN: Synthesized Similarity Graph-Based Neural Network For Noised Heterogeneous Graph Representation Learning
For homogeneous graphs, the latest works use original node features to synthesize a similarity graph that can correct the structure of the noised graph.
MineAgent: Towards Remote-Sensing Mineral Exploration with Multimodal Large Language Models
Remote-sensing mineral exploration is critical for identifying economically viable mineral deposits, yet it poses significant challenges for multimodal large language models (MLLMs).
Cross Knowledge-based Generative Zero-Shot Learning Approach with Taxonomy Regularization
CKL enables more relevant semantic features to be trained for semantic-to-visual feature embedding in ZSL, while Taxonomy Regularization (TR) significantly improves the intersections with unseen images with more generalized visual features generated from generative network.
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