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Found 5 papers, 2 papers with code
Assessing and Mitigating Medical Knowledge Drift and Conflicts in Large Language Models
Large Language Models (LLMs) have great potential in the field of health care, yet they face great challenges in adapting to rapidly evolving medical knowledge.
Learning Musical Representations for Music Performance Question Answering
Music performances are representative scenarios for audio-visual modeling.
Temporal Working Memory: Query-Guided Segment Refinement for Enhanced Multimodal Understanding
To overcome these challenges, we introduce a specialized cognitive module, temporal working memory (TWM), which aims to enhance the temporal modeling capabilities of MFMs.
Residual Kolmogorov-Arnold Network for Enhanced Deep Learning
Despite the strong performance in many computer vision tasks, Convolutional Neural Networks (CNNs) can sometimes struggle to efficiently capture long-range, complex non-linear dependencies in deeper layers of the network.
Memory-Efficient Sparse Pyramid Attention Networks for Whole Slide Image Analysis
Unlike existing methods that often struggle to model spatial and contextual information due to memory constraints, our approach enables the accurate modeling of these crucial features.
